
2026 SAPA Science and Career Symposium

The 2026 SAPA Annual Science & Careers Symposium brings together leaders, innovators, and professionals for a dynamic day of learning, networking, and career advancement.
Under the theme Accelerating Innovation, Reshaping Careers, discover how breakthroughs in science and AI are transforming the pharmaceutical industry and redefining career paths.
Highlights include:
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500+ on-site job openings with real-time guidance from top HR experts
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Comprehensive AI learning tracks:
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Live demos by industry experts
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Agentic AI workshop for hands-on skill building
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Talks from world-leading researchers and rising industry innovators
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Cutting-edge scientific insights across pharma discovery
Join us to gain practical skills, meaningful connections, and a competitive edge in a rapidly evolving landscape.
Event Highlights
Visionary Leadership & Future Trends
Our morning plenary session boasts an impressive lineup of distinguished speakers, sharing insights into cutting-edge scientific advancements and industry trends.
From Discovery to Therapy
Insights into innovative drug discovery and translational strategies advancing new therapies from research to clinical development.
Experiential Career Development
Next-Gen AI in Pharma and Biomedicine
Advanced AI Systems in Practice
Executive Lunch & Learn: AI as a Driver of Quality and Enterprise Value
Live demo on AI applications in QA/QC and gain insights into how AI is redefining QA/QC, strategic positioning, and deal-making in life sciences.
Delicate Dinner & Networking
An intimate evening dinner bringing together sponsor companies and speakers for meaningful, high-value connections and conversations. Seats are extremely limited, ensuring a curated and exclusive networking experience.
Event Agenda
All speakers are presented in alphabetical order, without any implication of ranking or precedence.
Event Speakers
All speakers are presented in alphabetical order, without any implication of ranking or precedence.
Morning Plenary Session
9:00 am – 12:00 pm
Session Chairs: Yanming (Brian) Jiang, MS; Haiying Liu, PhD

Gang Chen
Senior VP
Protein Expression Sciences
Regeneron Pharmaceuticals
Dr. Gang Chen is a Sr Vice President at Regeneron Pharmaceuticals, Inc.. Dr. Chen joined Regeneron as a research scientist upon completion of postdoctoral training in 1999. Dr. Chen has held many scientific and leadership roles of increasing responsibility over the past 27 years. Dr. Chen has led Regeneron’s Protein Expression Sciences department for the past 8 years. His responsibilities at Regeneron include antibody discovery and development of manufacturing cell lines. Dr. Chen received his BS in biology from the University of Science and Technology of China and his Ph.D. in cell biology from the University of Washington.

Fei Wang
Frances and John L. Leob Professor of Medical Informatics Weill Cornell Medicine
Cornell University.
Fei Wang (https://wcm-wanglab.github.io/) is currently the Associate Dean of Artificial Intelligence and Data Science at Weill Cornell Medicine (WCM), where he is also the Frances and John Loeb Professor of Medical Informatics and Division Chief of Health Informatics and Artificial Intelligence in Department of Population Health Sciences (primary), and a Professor in Department of Emergency Medicine (secondary). Dr. Wang is the Founding Director of the WCM Institute of AI for Digital Health (AIDH). He is also a Senior Technical Advisor at New York Presbyterian hospital (NYP), a Senior Faculty Fellow of Clinical Artificial Intelligence at Cornell Tech, and an Adjunct Scientist at Hospital for Special Surgery (HSS). His research interest is machine learning and artificial intelligence in biomedicine. Dr. Wang has published over 350 papers on the major venues of AI and biomedicine, which have received more than 43K citations to date. His H-index is 94. Dr. Wang is an elected fellow of American Medical Informatics Association (AMIA), American College of Medical Informatics (ACMI) and International Academy of Health Sciences and Informatics (IAHSI), and a distinguished member of Association for Computing Machinery (ACM).

David Donne
Vice President & Group Head Oncology Regulatory Affairs III
Bayer
David Donne is currently vice president, regulatory strategy oncology and IVD at Bayer HealthCare Pharmaceuticals. David’s professional experience spanned multiple companies including Bristol-Myers Squibb, Johnson & Johnson, GSK, and Bayer. David started his industrial career in drug discovery, and moved through the development stages from early to late development in multiple functions in research, candidate optimization, pharmacovigilance, CMC, and regulatory strategy in drugs and diagnostics. Over the years, he contributed and/or led regulatory strategy development and approval of multiple immunology and oncology drugs and companion diagnostics, with a focus on precision oncology in recent years. A structural biologist by training, David holds a Ph.D. in Biochemistry from Purdue University and received post-doctoral training at Scripps Research before joining the industry.

Peter Schafer
Chair
Prognostic Lung Fibrosis Consortium (PROLIFIC)
Peter Schafer has more than 25 years of experience in drug discovery, research, and development in the pharmaceutical industry, and is now volunteering at the Pulmonary Fibrosis Foundation and the Lupus Research Alliance.
In his previous role as Scientific Vice President of Translational Medicine at Bristol Myers Squibb, Peter and his team designed and implemented biomarker plans for late-stage clinical trials in the areas of immunology, cardiovascular disease, and neuroscience. While at Celgene Corporation, he led the Drug Discovery Biology group and helped to build the Translational Development group focused on hematology and immunology. He is co-inventor of the PDE4 inhibitor apremilast (Otezla®), now approved for psoriasis, psoriatic arthritis, and Behçet's Disease.
Peter obtained a Bachelor of Science degree in Biological Chemistry from the University of Chicago, a Ph.D. in Biochemistry, Molecular Biology, and Cell Biology from Northwestern University, and completed a post-doctoral research fellowship at the R. W. Johnson Pharmaceutical Research Institute. He is co-author of >100 scientific publications and co-inventor on >80 patents, recipient of the Thomas Alva Edison Patent Award in 2007 and 2019, received the Heroes of Chemistry Award from the American Chemical Society in 2024, and the Research Champion Award from the Lupus Research Alliance in 2025.
Lunch and Learn
12:15-1:25pm
Session Chairs: Siyu Jiang, MPH; Lily Li, PhD
Session Topic: From AI QA/QC to AI-Native Life Sciences: Transforming Drug Development
Speakers:

Xiaonan Tang
Senior VP
Bioanalytical Services Frontage Laboratories Inc

Tianhao Wu
Founder & CEO
opAIda, Inc.

Yingchao Zhang
Co-Founder & COO opAIda, Inc.
Moderator:

Zhenni Jackson
Co-Founder & CMO
opAIda, Inc.
Panelists:

Rene Baston
Venture Partner
Covenant Venture Capital

Sho Islam
Director, Office of Business Engagement
Middlesex County, NJ
Afternoon Parallel Sessions I: Novel Drug Discovery Science
1:30-05:00 pm
Session Chairs: Harris Zhang, PhD; Dexi Yang , PhD; Haiying Liu, PhD

Yuhua Huang
Principal Scientist External Discovery Chemistry
Merck & Co.
Yuhua joined ScheringPlough in 1998 after completing a Master’s degree with Prof. Paul Kiprof at the University of Minnesota and a yearlong research assistantship with Prof. Richard Silverman at Northwestern University. Since entering the pharmaceutical industry, she has contributed to both process development and discovery research across a broad range of therapeutic areas. She is a coinventor of Victrelis (boceprevir), the firstinclass HCV NS3 protease inhibitor, and Narlaprevir, a secondgeneration protease inhibitor developed by RPharm. For these contributions, Yuhua received the ScheringPlough President’s Award in 2002 and the Thomas Alva Edison Patent Award in 2006 for the discovery of boceprevir.
Driven by her research interests, Yuhua pursued and completed her Ph.D. with Prof. Xumu Zhang at Rutgers University while working fulltime at Merck. In recent years, she has focused on delivering highquality molecules to advance drug discovery programs across multiple stages and modalities. In 2022, she presented on behalf of the Merck PCSK9 team at the 27th American Peptide Symposium, highlighting the discovery of MK0616.
Currently, Yuhua is a Principal Scientist at Merck and serves as an external partners lead, responsible for aligning internal and external chemistry resources to progress programs toward key milestones. Beyond her pipeline contributions, she has spent over a decade as an Ambassador for catalysis and capability building. She is passionate about empowering teams and accelerating innovation through the development and integration of new scientific capabilities.

Dongfang Liu
Professor
Pathology, Immunology, and Laboratory Medicine
Rutgers University
Dongfang Liu, Ph.D., is a tenured full Professor at the Department of Pathology, Immunology, and Laboratory Medicine in Rutgers University - New Jersey Medical School (NJMS). He also serves as the Scientific Director of the Cellular Imaging & Histology Core at Rutgers-NJMS. In 2012, Dr. Liu was recruited to Baylor College of Medicine as a tenure-track Assistant Professor in the Departments of Pediatrics, and Pathology & Immunology. In 2015, he joined the Houston Methodist Research Institute (HMRI, affiliated with Weill Cornell Medical College (WCMC)/Cornell University) as a tenure-track Assistant Professor. He was promoted to Associate Professor in 2018 in HMRI. Dr. Liu earned his Ph.D. in immunology from 2001 to 2005 in Huazhong University of Science and Technology (HUST), with a focus on natural killer (NK) biology and immunology, his M.D. in medicine in Wuhan University School of Medicine in 2001. After completing his Ph.D. training in HUST, he joined the National Institutes of Health (NIH) for his postdoctoral training from 2005 to 2011, specializing in the immunobiology of NK cells and immunological synapse. After completing his postdoctoral training at NIH, he joined the Ragon Institute of MGH, MIT, and Harvard in 2011 as a Senior Research Scientist, focusing on HIV-specific immune cell dysfunction and immunological synapse. Dr. Liu's current research focuses on the immunobiology of NK cells, Chimeric Antigen Receptor (CAR)-NK cells, and immunological synapse biology and application. With over 20 years of experience in NK cell research and > 10 patent applications, Dr. Liu has published extensively in top-tier journals, including Nature Immunology, Immunity, Nature Communications, JACI, and the Proceedings of the National Academy of Sciences (PNAS). He serves on several editorial boards and acts as a reviewer for numerous journals and grant agencies, including the NIH and DOD. Dr. Liu holds multiple federal research grants to study the basic mechanisms of NK cell biology and CAR-NK.

Binfeng Lu
Professor
Hackensack Meridian School of Medicine
Binfeng Lu is a tumor immunologist who leads a lab at the Hackensack Meridian Center for Discovery and Innovation (CDI) focused on T cell–based cancer immunotherapy. He is a director and member at CDI, a professor of immunology at Hackensack Meridian School of Medicine, and a member of the Georgetown Lombardi Comprehensive Cancer Center. His lab has defined fundamental mechanisms of anti-tumor immune regulation, including the discovery of TIM3⁺ tumor Treg cells and the identification of T-bet and Eomes as key transcription factors that inhibit tumor-specific memory stem T cells. His research has pioneered our understanding of how “alarmin” cytokines such as IL‑33 and IL‑36 can be harnessed to develop next‑generation immunotherapies. As a cofounder of a clinical-stage biotech company, he has contributed to clinical programs targeting cytokines for the therapy of cancer. Trained at Tsinghua University (BS in Biology), Columbia University (Ph.D. in Molecular Immunology), and Yale (postdoctoral fellowship in T cell immunobiology), he rose through the academic ranks at the University of Pittsburgh from assistant professor to tenured professor of immunology over nearly two decades before moving his lab to CDI in 2022 to accelerate translation of his discoveries to cancer patients.

Liling Wan
Assistant Professor
Cancer Biology
University of Pennsylvania
Liling Wan received her B.S. from Tsinghua University in Biological Sciences and Biotechnology, and her Ph.D. from Princeton University in Molecular Biology. During her Ph.D. she studied molecular basis of cancer metastasis with Dr. Yibin Kang. She then pursued her postdoctoral training in the laboratory of Dr. David Allis at the Rockefeller University, during which she worked on chromatin and epigenetic mechanisms in cancer. She is now leading a research group to investigate how epigenetic mechanisms regulate cell fate control and cancer. Wan lab website: https://www.lilingwanlab.com/

Xingxing Zang
Professor & Institute Director
Microbiology and Immunology, Oncology, Urology, Medicine
Albert Einstein College of Medicine
Dr. XingXing Zang received his M.Med from Shanghai Jiao Tong University School of Medicine and PhD from the University of Edinburgh, and completed postdoctoral training with Jim Allison at UC Berkeley and Memorial Sloan-Kettering Cancer Center. He is currently Professor, the Louis Goldstein Swan Endowed Chair, and Founding Director of the Marilyn and Stanley M. Katz Institute for Immunotherapy for Cancer and Inflammatory Disorders at Albert Einstein College of Medicine, New York. Dr. Zang has made seminal contributions to immune checkpoint biology and immunotherapy. Several first-in-class dugs originating from his lab are currently in clinical trials across a wide range of human cancers. In addition, he is a scientific founder of multiple biotechnology companies. Zang lab website: https://www.xingxingzanglab.org.

Huaye Zhang
Professor Neuroscience and Cell Biology
Rutgers University
Huaye Zhang is an Associate Professor at the Department of Neuroscience and Cell Biology. She completed her PhD and postdoctoral training at the University of Virginia. She provided the following statement about her lab:
Neurons are arguably the most polarized/compartmentalized cell type in the human body. Their polarity establishment starts with axon/dendrite specification. Further compartmentalization occurs during the formation of dendritic spines, which receive most of the excitatory synaptic inputs in the brain. Moreover, not all spines are created equal. Some persist for life, while others are more plastic. This high degree of compartmentalization ensures the input specificity of synaptic transmission and is essential for cognitive functions.
However, it is unclear how neurons can maintain this high level of compartmentalization and achieve both stability and plasticity in spines that are just a few microns apart. Polarity proteins are ideally suited to function in this capacity, as their main job is to compartmentalize the cell by separating and maintaining distinct membrane domains.
A major focus of our lab is to understand the role of a group of polarity regulators called Par (partitioning defective) proteins in dendritic spine morphogenesis and plasticity. We are also interested in how their regulation of spine plasticity translates to cognitive functions in vivo. A second direction of the lab is to understand the role of these Par proteins in neurodegenerative diseases such as Alzheimer’s disease.
We employ a wide range of experimental approaches including molecular, biochemical, and live imaging methods such as FRET, FRAP, two-photon in vivo imaging, and optogenetic manipulations of cellular and molecular activities. We use a combination of both primary neuronal cultures and conditional knockout mouse models.
Afternoon Parallel Sessions II: Career Development
1:30-05:00 pm
Session Chairs: Shuai Li, PhD; Jianjian Guo, PhD; Xiaowei Sun, PhD
Speakers:

Sara Gao
Director
Wharton Executive Education
Dr. Sara Gao is a leadership researcher, executive education leader, and trusted advisor to senior executives, with a deep focus on how curiosity shapes leadership effectiveness in times of uncertainty, transformation, and technological change. Her work explores how leaders harness curiosity to navigate ambiguity, strengthen decision making, and sustain long-term value creation.
Sara currently serves as director of global corporate partnership at Wharton Executive Education, where she partners with global organizations to design and deliver leadership development programs for senior executives facing complexity, strategic inflection points, and the evolving impact of AI on leadership and organizations. She regularly works with C-suite and board-level leaders across industries and geographies.
Sara holds a Doctor of Education (Ed.D.) from the University of Pennsylvania and an MSc from the Stockholm School of Economics. Sara lives in the United States with her husband and son.

Blair Bu
Global Senior Partner Healthcare & Life Sciences
IntelliPro Group
Blair Bu is the Global Senior Partner for Life Sciences and Healthcare at IntelliPro Group, where she leads a dynamic team of over 100 professionals across various regions and countries. With more than a decade of experience in executive search, Blair has developed a deep expertise in the global healthcare sector, particularly in pharmaceuticals and medical devices. Her strategic acumen has facilitated significant international collaborations, with a focus on key markets including China, the United States, Singapore, and Europe. Blair’s leadership is instrumental in advancing IntelliPro Group’s global initiatives, solidifying its presence in the life sciences and healthcare sectors.
Panelists:

Zifan Gong
Principal Scientist
Bristol Myers Squibb
Zifan is a leader in Drug Product Development and Manufacturing Science & Technology (MST), bringing over nine years of experience in advancing biologics from initial development stages through to commercial launch. Throughout his career, Zifan has contributed to major pharmaceutical companies such as Pfizer, GSK, and BMS, expanding his expertise to oversee comprehensive end-to-end drug product development. His specialties include sterile drug product process development, process characterization, technology transfer, validation execution, and regulatory CMC strategy. Zifan is recognized for successfully leading cross-functional teams through regulatory filings, pre-approval inspection readiness, commercial launches, and lifecycle management across both global CDMOs and internal manufacturing networks. As a panelist for this career development event, Zifan looks forward to sharing insights from his journey and helping others navigate their professional paths in the pharmaceutical industry.

Yuan Wang
Global medical affair scientific communication director
Immunology
Sanofi
Yuan have worked in medical affairs, clinical development, publication strategy, and scientific communication, medical education, and medical information areas in pharmaceutical industry for over 25 years. I am currently a team lead for global scientific communication for GI/Rhinology for Dupixent in the immunology franchise at Sanofi.
In my current role, I oversee the strategic planning, development and execution of the scientific data dissemination, publications, and medical education for Gastroenterology and Rhinology. My experience includes leading strategic data generation from Phase 3 clinical trials & RWE studies, and publication/medical communication planning, as well as establishing governance/framework with alliance partners.
Prior to the current role, I served as Director and Publication Strategy Lead for the Prostate Cancer Franchise in Global Medical Affairs Oncology at Bayer for the past 5 years. In this capacity, I led new publication and medical communication initiatives that are patient focused as well as digital enhancements to increase data transparency and improve patients’ understanding of complex scientific information for 3 new launches. These initiatives were recognized as the Winner of Reuters Global Pharma Award for the Most Valuable Awareness Initiative Category. Prior to Bayer, I led the Global Scientific Communications and Publications team in the Solid Tumor and ADC franchise at Daiichi Sankyo. I also served as a clinical/medical lead at Bayer Consumer HealthCare for NDA programs in the Analgesic Franchise and held positions of increasing responsibility at Pfizer in Global Medical Information across several therapeutic areas.

Yun Zhang
Drug Safety R&D (DSRD) Liaison for Development China Pfizer
Yun Zhang (YZ), PhD, DABT, is a Drug Safety Team Lead (DSTL) at Pfizer since 2017 and is also as Drug Safety R&D (DSRD) Liaison for Development China since April 2025. Dr. Zhang is an experienced drug developer, as a Project Toxicologist, with over 20+ years of comprehensive experience in non-clinical drug development across diverse modalities and therapeutic areas in the biopharmaceutical industry (CRO and large pharmaceutical companies).
He started his toxicology career with the CRO in 2002 as the SD/Toxicologist on a variety of GLP toxicology studies designed to evaluate non-clinical safety of drug candidates (small molecules, biologics, vaccines, gene therapy, and siRNA). After he switched to large pharmaceutical companies in 2004 (Merck, GSK China, and Pfizer) as part of the drug development team, he has been involved in the entire process of the drug discovery and development and gained broad working experience/knowledge of the drug discovery / development process and knowledge of regulatory processes and guidelines. He has served as the Safety Assessment (SA) Representative on multiple early and late drug development project teams with demonstrated capability of integrating information across drug development disciplines and influencing program/project directions. As the SA Rep, he is responsible for non-clinical safety program strategy, designing/planning non-clinical safety studies, toxicity risk management, preparation of toxicology regulatory submissions and addressing potential regulatory issues, and participating for review/evaluation of potential licensing candidates.

Qi Song
Principal Scientist Predictive Biology and AI
Bristol Myers Squibb
Qi (Alex) Song is currently a principal scientist at BMS, where he focuses on accelerating early-stage drug discovery, advancing cell therapy development, and enabling precision medicine through large-scale AI foundation models. With 10+ years of experience in computational biology, Qi has leveraged his expertise to evaluate advanced AI/ML methods to inform strategic decision-making in pharmaceutical research and development. Prior to joining BMS, he was a postdoctoral associate at Computational Biology Department, Carnegie Mellon University.
Afternoon Parallel Sessions III: Pharma AI and Data Science
1:30-05:00 pm
Session Chairs: Xi Cheng, MPH, MS; Brian Jiang, MS; Jason Zhong, MS, MBA, PMP
Keynote Speaker:
Mengdi Wang
Professor
Electrical and Computer Engineering
Center for Statistics and Machine Learning
Princeton University
Mengdi Wang is a professor at the Department of Electrical and Computer Engineering and Center for Statistics and Machine Learning at Princeton University. She is also affiliated with the Department of Computer Science, Princeton’s ML Theory Group. She was a visiting research scientist at DeepMind, IAS and Simons Institute on Theoretical Computer Science. Her research focuses on machine learning, reinforcement learning, generative AI, AI for science and intelligence system applications. Mengdi received her PhD in Electrical Engineering and Computer Science from Massachusetts Institute of Technology in 2013, where she was affiliated with the Laboratory for Information and Decision Systems and advised by Dimitri P. Bertsekas. Before that, she got her bachelor degree from the Department of Automation, Tsinghua University. Mengdi received the Young Researcher Prize in Continuous Optimization of the Mathematical Optimization Society in 2016 (awarded once every three years), the Princeton SEAS Innovation Award in 2016, the NSF Career Award in 2017, the Google Faculty Award in 2017, and the MIT Tech Review 35-Under-35 Innovation Award (China region) in 2018, WAIC YunFan Award 2022, AACC’s Donald Eckman Award 2024. She serves as a Program Chair for ICLR 2023 and Senior AC for Neurips, ICML, COLT, associate editor for Harvard Data Science Review, Operations Research. Research supported by NSF, AFOSR, NIH, ONR, Google, Microsoft C3.ai, FinUP, RVAC Medicines.
Speakers and Panel Participants:
Kexin Huang is the Co-founder and CEO of Phylo, a research lab studying agentic biology. Before Phylo, Kexin was a PhD student in Computer Science at Stanford University, advised by Prof. Jure Leskovec. His research focuses on leveraging AI to drive novel, deployable, and interpretable biomedical discoveries, while also tackling fundamental AI challenges such as multi-modal modelling, uncertainty quantification, and agentic reasoning. His work has been published in Nature Medicine, Nature Biotechnology, Nature Chemical Biology, Nature Biomedical Engineering, Nature, and machine learning conferences including NeurIPS, ICML, and ICLR. He has received 6 best paper awards at NeurIPS/ICML workshops, ISMB, and ASHG, with a cover article in Nature Biotechnology and Cell Patterns. His research has been featured in major media outlets such as Forbes, WIRED, and MIT Technology Review. He has also contributed to machine learning research at leading companies and institutions, including Genentech, GSK, Pfizer, IQVIA, Flatiron Health, Dana-Farber Cancer Institute, and Rockefeller University.

Ying Li
Director
RWE & Advanced Analytics
Regeneron Pharmaceuticals, Inc.
Dr. Li is a seasoned medical informatics researcher with over 16 years of experience advancing data-driven innovation in healthcare. Her work focuses on generative AI, machine learning, data mining, and natural language processing, with an emphasis on translating these methods into practical solutions for complex healthcare challenges. She has deep expertise in extracting, integrating, and transforming both structured and unstructured data into actionable insights, drawing from diverse sources including electronic health records, claims databases, biomedical literature, social media, web-based content, and internally generated corporate data.
Dr. Li earned her PhD in Biomedical Informatics from Columbia University and subsequently spent five years at IBM Research as a research staff member in the Center for Computational Health. During her tenure, she played a key role in leading the Watson for Patient Safety research prototype, contributing to the application of AI in clinical quality and safety.
Currently, Dr. Li serves as Director of Health Economics and Outcomes Research at Regeneron Pharmaceuticals. Her work centers on leveraging real-world data and AI to support decision-making across the drug development lifecycle. She has authored over 20 peer-reviewed publications in leading cross-disciplinary journals and conferences and is an inventor on four patents.
Yifan Peng
Associate Professor Department of Population Health Science
Cornell University
Yifan Peng, Ph.D., FACMI, is an Associate Professor in the Department of Population Health Sciences at Weill Cornell Medicine. His main research interests include BioNLP and medical image analysis. He has published in major AI and healthcare informatics venues, including ACL, NAACL, CVPR, and MICCAI, as well as medical venues, including Nature Medicine, Nucleic Acids Research, npj Digital Medicine, and JAMIA. His research has been funded by federal agencies, including NIH and NSF, and industries such as Amazon and Google. He has given tutorials and keynote speeches at various conferences, including CVPR, Mayo Clinic AI Summit, and Pharmaceutical Data Science.
Qiaohui Zhou
AI Engineering Senior Scientist Biostatistics
Merck & Co.
Qiaohui (Chloe) Zhou is a Senior Scientist in Generative AI at Merck, where she bridges the gap between biostatistics and artificial intelligence. She holds a Ph.D. in Biostatistics from Georgetown University. At Merck, Chloe develops LLM-powered tools for clinical research, including a TableQA system and ConvoGraph, a graph-based chat interface that enables users to fork, branch, and cherry-pick conversation history. She designs specialized agentic workflows using LangChain and LangGraph, and drives agent adoption across functional divisions in areas such as predictive stability and assay standardization. She also contributes to digital pathology platform development. Her doctoral research at Georgetown focused on non-parametric based modeling for causal inference. She now applies her statistical background to building AI tools and infrastructure for drug development.
Panel Moderator:
Yunlong Wang
Director, AI Scientist
IQVIA
Yunlong Wang is an AI Scientist Director at IQVIA, where he leads a team of AI scientists and engineers developing applied machine learning and generative AI solutions for healthcare data analytics. He partners closely with consulting and product teams to build scalable models and automation pipelines that support clinical, commercial, and medical use cases. Yunlong has contributed to a broad portfolio of solutions, including rare disease detection models, opportunity-patient finders, HCP and patient trigger systems, indication prediction, campaign optimization tools, multi-agent LLM workflows, and time-series forecasting models.
A consistent contributor in life sciences AI, Yunlong’s work focuses on generative AI, machine learning for healthcare prediction, and graph-based modeling of medical data. He has authored more than 30 peer-reviewed publications in venues such as NeurIPS, ICML, CVPR, AAAI, KDD, IEEE TSP, and ICASSP, and holds multiple U.S. patents in machine learning for healthcare.
He earned his B.S. from Xi’an Jiaotong University, his Ph.D. from Stony Brook University, completed post-doctoral research at the University of Minnesota, and received his M.B.A. from Boston University.
Afternoon Parallel Sessions IV: Agentic AI Workshop

1:30-05:00 pm
Vibe, Build, Present: AI Agents for Pharma in a Day
Session Chairs: Junchi Lu, PhD; Zhiwei Yin, PhD

Junchi Lu
Associate Director
Bristol Myers Squibb
Junchi Lu is an Associate Director at Bristol Myers Squibb, where she architects AI and advanced analytics solutions across the Global Supply Chain — spanning network supply AI agents, predictive risk assessment, and clinical supply forecasting. As a hybrid professional at the intersection of data science, supply chain strategy, and patient impact, she specializes in solving the problems no single function can solve alone: the ones that arise when moving life-saving products from development to patients.
Her career reflects a deliberate journey across science, technology, and business. A Ph.D. in Electrical Engineering from Notre Dame, where her nanophotonics research pioneered infrared medical devices, gave her the technical rigor to work at the limits of hard problems. Years in life sciences strategy consulting and incubator environments sharpened the market instincts that now define her approach to AI deployment in large pharma.
Recognized with BMS's BI&T Impact Award, Junchi and her cross-functional team drove measurable business value through AI-enabled supply chain analytics — bridging clinical, commercial, and operations stakeholders around a shared strategic vision.
She leads SAPA's Global Communication team, has hosted 30+ episodes of the SAPA 8@8 career series, and delivered 10+ AI workshops helping practitioners cultivate their "Edge" collaboration.

Zhiwei Yin
Associate Director
Bristol Myers Squibb
Dr. Zhiwei Yin is an Associate Director at Bristol Myers Squibb within the Analytical AI for Clinical Development (AICD) group, where he focuses on leveraging artificial intelligence to support clinical trial design and operations. Previously, he served as a Senior Manager in the Business Insights & Technology – Analytical AI & Predictive Solutions team, leading initiatives that applied modeling and AI to enhance health care provider engagement with BMS medications. Before transitioning into data science, Dr. Yin built extensive expertise in small molecule drug R&D, with research spanning process development, crystallization, material science, and pre-formulation. Passionate about data, he has driven the creation of digital capabilities for high-throughput experimentation, portfolio management, and business decision-making. Dr. Yin earned his PhD in Chemistry from the City University of New York and received computer science training at New York University.
Event Venue
Rutgers Robert Wood Johnson Medical School,
675 Hoes Lane West, Piscataway, NJ 08854
Parking Instruction:
Free event parking is available in Lots A, B & C.Attendees must register their vehicles online before arriving onsite here: You must enter an email address to receive a confirmation. Vehicles that are not registered may be subject to ticketing and/or towing.Special Event parking does not include metered parking and does not grant free parking to Rutgers faculty, staff, or students.
Detailed Parking Guide: https://scribehow.com/viewer/How_to_Book_Parking_for_a_Rutgers_Event__XPR6oqs6Rl2Yn1Mk-HNnRw
Event Sponsors
Call for Sponsors
We welcome additional organizations to partner with us in supporting this year’s symposium.
Sponsorship provides a valuable opportunity to:
• Increase your organization’s visibility within the biopharmaceutical and scientific community
• Connect with industry leaders, researchers, and emerging professionals
• Engage with discussions at the forefront of AI, drug discovery, and career development
For sponsorship opportunities and partnership inquiries, please contact: fundraising@sapaweb.org












