Avi Srivastava is an Assistant Professor and computational biologist with 11 years of experience developing scalable algorithms for bulk and single-cell RNA-seq analysis and uncertainty-aware probabilistic graphical models for transcriptomic data. Based at The Wistar Institute and affiliated with UPenn, he bridges rigorous method development with applied systems immunology, translating statistical theory into fast, memory-efficient tools. His PhD and postdoctoral work includes leadership on CZI- and NSF-funded projects and contributions to lightweight pseudo-alignment and streaming minimal-perfect-hash approaches used in high-throughput pipelines. Avi’s background blends software engineering at industry labs (10x Genomics, Roche) with deep research in likelihood factorizations and posterior uncertainty estimation, making him adept at both production-ready implementations and theoretical innovations.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Stony Brook University
Contributions:9 commits, 5 pushes in 2 years 3 months
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Avi Srivastava - Assistant Professor at University of Pennsylvania