Sandeep Venkataram
Computational Biologist
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolSandeep Venkataram is a computational biologist with 11 years of experience who bridges wet-lab insight and production-grade bioinformatics to drive discovery in industry and academia. He has led interdisciplinary projects from bench to code—developing high-throughput NGS and pooled-screening pipelines, custom APIs and visualization tools, and an in-house fungal phylogeny spanning tens of thousands of genomes. His work has generated peer-reviewed publications in top journals and widely used software for barcode extraction and time-series evolutionary analysis. Comfortable in Python and R (with C++ experience), he excels at turning noisy biological assays into robust, reusable data infrastructure that teams use daily. Notably, he discovered a novel evolutionary phenomenon (“Evolutionary Stalling”) during his postdoc, illustrating his knack for uncovering unexpected biology through quantitative analysis.
12 years of coding experience
6 years of employment as a software developer
Bachelor of Arts - BA, Biology and Computer Science, Bachelor of Arts - BA, Biology and Computer Science at Washington University in St. LouisPh.D, Biology- Eco/Evo, Ph.D, Biology- Eco/Evo at Stanford University
Github Skills (2)
barcodes9
bar-code8
Programming languages (1)
Github contributions (5)
sandeepvenkataram/BarcodeCounter
Mar 2016 - May 2022
Contributions:22 commits, 21 pushes, 1 branch in 6 years 2 months
sandeepvenkataram/BarcodeCounter2
Jul 2018 - Jul 2021
Count DNA barcodes version 2
Contributions:2 releases, 58 commits, 1 PR in 3 years
bar-codebarcodes
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