Nikhil Haas
Co-Founder at BioLM.ai
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolNikhil Haas is a Co-Founder and bio-AI entrepreneur with 11 years of experience building production-grade software and ML systems at the intersection of commercial biotechnology and data science. He led bioinformatics and automation teams at Twist Bioscience and now runs BioLM.ai, delivering GPU-backed protein, DNA, and RNA model APIs that cut engineering and ops overhead while keeping computational costs low. His background spans full-stack engineering, scalable cloud infrastructure, and niche bioinformatics algorithms—from codon optimization and NGS QC pipelines to probabilistic splice-site detection and large-scale DNA biosecurity screening. He’s taught graduate-level health informatics, built research-grade analytics platforms at Stanford Med, and co-founded earlier startups, showing a consistent pattern of turning domain research into reliable, productionized services. Based in Oakland, CA, he pairs deep biotech domain knowledge with pragmatic software engineering and a knack for automating previously manual lab and design workflows.
11 years of coding experience
11 years of employment as a software developer
Master of Science (M.S.) Health Informatics (Data Analysis Track), Master of Science (M.S.) Health Informatics (Data Analysis Track) at University of San FranciscoBachelor's Degree Biomedical Engineering, Bachelor's Degree Biomedical Engineering at Boston University
Stackoverflow
114reputation
14kreached
3answers
7questions
Github Skills (66)
databases10
icu10
shiny-server10
r9
database9
duplication9
intellij-plugin8
computational-biology8
intellij8
jetbrains-ides8
r-package8
react-table7
medical7
jetbrains7
linter7
Programming languages (8)
Github contributions (5)
nsh87/ehrcorral
Oct 2015 - Dec 2015
EHRCorral cross-matches and links electronic medical records for the purpose of de-duplication
Contributions:3 releases, 263 commits, 26 PRs in 2 months
recordselectronic-medical-recordsmatchesmedical-recordspurpose
nsh87/regressors
Nov 2015 - Dec 2015
Easy utilities for fitting various regressors, extracting stats, and making relevant plots with scikit-learn models
Contributions:1 release, 241 commits, 32 PRs in 18 days
scikit-learn
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