SS
Srijit Seal
Human Chemical Company, Merck & Co., Inc., Rahway, NJ, USA (United States)
0000-0003-2790-8679
About
My interest lies in applying machine learning methods to analyze and interpret the Cell Painting assay for predicting drug efficacy, safety, and toxicity. I am passionate about education outreach, advocating for a better understanding of Artificial Intelligence and delivering seminars about its role in the pharmaceutical industry.
Employment
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Human Chemical Company Senior Scientist2026 - Present
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Merck & Co., Inc., Rahway, NJ, USA (United States) Senior Scientist2025 - 2026
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (38)
- Understanding biology with machine learning: compression, intelligibility, and dependency Save
- AI agents in drug discovery: applications and case studies Save
- SHOT-CCR: Biologically guided adversarial training for test-time adaptation in cellular morphology Save
- Counting cells can accurately predict small-molecule bioactivity benchmarks Save
- Model Validation Protocols for Machine Learning in Small Molecule Drug Discovery Save
- Advice for bad computational toxicologists Save
- Transfer learning enables discovery of sub-micromolar antibacterials for ESKAPE pathogens from ultra-large chemical spaces Save
- LEARNING MOLECULAR REPRESENTATION IN A CELL Save
- Cell Painting for cytotoxicity and mode-of-action analysis in primary human hepatocytes Save
- Cell Painting for Cytotoxicity and Mode-of-Action Analysis in Primary Human Hepatocytes Save