SAPA Data Science Community
2026 June Webinar
Multiomics Integration: Methods and Caveats
HIGHLIGHTS
Integrating genomics, transcriptomics, and proteomics promises a fuller picture of biology—but that’s where the hard part starts. This talk surveys the major integration approaches (fusion methods, matrix factorization, deep learning) and the pitfalls that trip people up: batch effects, mismatched scales, missing modalities, and patterns that look real but aren’t. You’ll leave knowing what multiomics integration can deliver, where it breaks down, and how to tell the difference.
SPEAKER
Ming Tang
Director of Bioinformatics
AstraZeneca
Ming Tommy Tang is a computational biologist with over 14 years of experience in genomics, epigenomics, and single-cell transcriptomics. He earned his PhD from the University of Florida, trained at MD Anderson, and held non-tenure-track faculty roles at Harvard and Dana-Farber. At AstraZeneca, he leads oncology targeted discovery bioinformatics team. A former wet-lab biologist, Tommy is passionate about open science and helping biologists gain computational skills. With over 130K followers across social media platforms, he aims to transform bioinformatics education. Learn more at divingintogeneticsandgenomics.com.
ABOUT US
Data science and AI are hot trending topics in many industry. The aim of SAPA Data Science community is to bring together researchers, young professionals, educators, and experts into one place, provide learning and collaboration platform for data science related topics, and drive the personal growth and career development of members.
Join us on the 2nd Tuesday of every other month from 8:00 PM to 9:30 PM for complimentary educational seminars and discussions on practical data science applications. Stay tuned for upcoming topics and activities!
