Aqib Hasnain is a Lead Scientist in the Bay Area with a decade of experience applying machine learning and systems/synthetic biology to accelerate insight generation from large-scale omics and single-cell data. He builds automated workflows that turn complex multi-omics datasets into testable hypotheses, drawing on a PhD in Biological/Biosystems Engineering and hands-on postdoctoral work modeling microbial community dynamics for methane conversion. His background spans academic research, industry ML at Cellarity, and laboratory technique development such as high-throughput barcoded deletion libraries, giving him a rare blend of computational and wet-lab fluency. Comfortable moving projects from data to experiments, he focuses on practical, scalable tools that reveal actionable biology.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at University of Houston
Doctor of Philosophy - PhD, Biological/Biosystems Engineering, Doctor of Philosophy - PhD, Biological/Biosystems Engineering at UC Santa Barbara
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