Alexander Tarashansky
Member Of Technical Staff at Chan Zuckerberg Initiative
Redwood City, California, United States
Summary
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Top SchoolAlexander Tarashansky is a software engineer and computational biologist with eight years of experience building scalable, research-driven systems at the intersection of single-cell biology and AI. He developed SAMap, the first method for unsupervised cross-species single-cell analysis, and has translated that algorithmic depth into full-stack product work at the Chan Zuckerberg Initiative, where he pioneered AI agent integration for scientific applications. Currently a Member of Technical Staff at Anthropic and previously a senior engineer at CZI and researcher at Stanford, he bridges rigor from a PhD in Bioengineering with pragmatic software delivery. Known for turning complex biological questions into production-grade engineering, he often operates where cutting-edge research tooling meets robust platform development.
7 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Bioengineering and Biomedical Engineering, Bachelor of Science (B.S.) Bioengineering and Biomedical Engineering at University of Southern CaliforniaDoctor of Philosophy (PhD) Bioengineering and Biomedical Engineering, Doctor of Philosophy (PhD) Bioengineering and Biomedical Engineering at Stanford University
Russian, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (115)
projection10
python10
topological-data-analysis10
datasets10
transcriptomics10
approximation10
dimensionality-reduction10
statistics10
single-cell-analysis10
uniform10
data-science10
census10
portal10
scanpy10
scales10
Programming languages (7)
Github contributions (5)
atarashansky/self-assembling-manifold
Jul 2022 - Nov 2022
The Self-Assembling-Manifold (SAM) algorithm.
Contributions:2 commits, 6 PRs, 644 pushes in 3 months
sammachine-learningmanifold
czbiohub-sf/excellxgene
Dec 2021 - Feb 2024
Contributions:17 PRs, 94 pushes, 97 branches in 2 years 2 months
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