Sam Boshar
Machine Learning Engineer at InstaDeep
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolSam Boshar is a Machine Learning Engineer in New York with eight years of experience applying computer science, mathematics, and ML to research-driven product problems. Currently at InstaDeep, he transitioned from research co-op work into production-focused engineering after internships that ranged from designing viral protein capsids with LLMs at Dyno Therapeutics to building robust navigation and RL systems at MIT CSAIL. His background spans wet-lab synthetic biology, quantum computing self-study, and teaching—evidence of a rare breadth that lets him bridge theory, experiment, and scalable model training (including multi-GPU/multi-node setups). Sam’s work emphasizes interpretability and robustness—he’s built neuron-level visualization tools and planners resilient to novelty—so he brings both creative research chops and practical engineering for deploying complex ML systems.
8 years of coding experience
3 years of employment as a software developer
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Massachusetts Institute of TechnologyPhillips Academy
Github Skills (12)
rna-seq10
bioinformatics10
seq10
transcriptomics10
scanpy10
single-cell-analysis10
data-science9
python9
machine-learning9
sequencing6
tabula3
scales3
Programming languages (5)
Github contributions (5)
swolock/scrublet
Mar 2018 - Dec 2020
Detect doublets in single-cell RNA-seq data
Contributions:43 commits, 5 PRs, 19 pushes in 2 years 10 months
rna-seq
AllonKleinLab/klunctions
Jan 2019 - Jul 2020
useful functions for scRNA-seq analysis
Contributions:23 commits, 1 PR, 20 pushes in 1 year 6 months
scrna-seqbioinformaticsscrna-seq-analysisseqrna-seq
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