Henri Schmidt
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolHenri Schmidt is a Princeton CS PhD candidate with 11 years of software and research experience, specializing in convex and combinatorial optimization applied to computational biology. He develops novel algorithms and optimization techniques that bridge theoretical computer science and operations research to solve real-world problems like CRISPR guide design and large-scale document clustering. His background spans academia and industry—research roles at Tufts and Memorial S, internships in HPC and software engineering, and a data science internship applying PhD work at Experian. Based in New York, he combines deep theoretical rigor with hands-on software development, shipping research-grade tools for biological and analytics applications. An under-the-radar strength is his knack for translating abstract optimization models into scalable implementations that work on messy, domain-specific data.
11 years of coding experience
2 years of employment as a software developer
Bachelor's of Science, Mathematics and Computer Science, Magna Cum Laude, Bachelor's of Science, Mathematics and Computer Science, Magna Cum Laude at Tufts UniversityMaster of Arts - MA, Computer Science, Master of Arts - MA, Computer Science at Princeton University
Github Skills (26)
cancer-genomics10
bioinformatics10
computational-biology10
biology9
design-tool9
cpp9
database8
lighthouse8
clojure7
quadratic-programming6
optimization5
phylogenetic-trees5
raku5
convex-optimization5
jekyll4
Programming languages (9)
Github contributions (5)
raphael-group/lazac-copy-number
Jan 2023 - Mar 2025
Contributions:6 releases, 43 pushes, 27 tags in 2 years 2 months
raphael-group/fastBE
Oct 2023 - Feb 2026
Contributions:4 releases, 44 pushes, 2 branches in 2 years 4 months
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