Summary
Siddharth Avadhanam is a machine learning scientist and postdoctoral researcher with 11 years of experience applying AI to genomics, currently integrating LLMs into drug target identification at Visterra in Boston. He builds scalable ML algorithms, cloud-deployable bioinformatics pipelines, and open-source simulation tools that detect genotyping errors and gene-conversion events, bridging academic rigor with product-focused execution. His background in Bayesian ML for population genetics and structural biology enables him to translate noisy genomic signal into actionable biological insight. Known for cross-functional leadership and scientific storytelling, he partners closely with experimental teams to iterate rapidly and deliver measurable impact (awarded internally for his contributions). He combines deep technical chops in statistics, software engineering, and cloud deployment with hands-on lab-facing collaboration—an uncommon blend that accelerates translation from models to experiments.
11 years of coding experience
8 years of employment as a software developer
Bachelor's Degree, Chemical Engineering, Bachelor's Degree, Chemical Engineering at BITS Pilani
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Cornell University
Master’s Degree, Biostatistics, Master’s Degree, Biostatistics at Michigan State University
English, Hindi