Peter Deweirdt
PHD Candidate
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolPeter Deweirdt is a PhD candidate in Computational and Systems Biology at MIT with nine years of experience applying machine learning to molecular biology, notably in CRISPR sgRNA analysis and bacterial anti-phage defense proteins. He blends hands-on experimental collaboration with computational rigor from prior roles at the Broad Institute, developing predictive models that extract biological insights from sequence data. Comfortable across Python/R and network-science approaches, he has a track record of translating complex genomics problems into deployable computational tools. Based in Cambridge, MA, he brings a strong mathematics and CS foundation from Hamilton College and a knack for spotting signal in noisy biological datasets — a skill honed through diverse internships from pediatric genomics to pharmacology.
9 years of coding experience
4 years of employment as a software developer
Visiting Student Mathematics, Visiting Student Mathematics at University of OxfordBachelor's degree Mathematics and Computer Science, Bachelor's degree Mathematics and Computer Science at Hamilton College
Stackoverflow
1reputation
0reached
0answers
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Github Skills (21)
rule8
visualization6
plotly5
python5
plotly-dash5
webgl5
javascript4
machine-learning-models4
charts4
data-visualization4
twine4
genetic3
charting3
modeling2
regl2
Programming languages (3)
Github contributions (5)
gpp-rnd/poola
Jan 2021 - Jul 2021
Python package to analyze the results of pooled CRISPR screens
Contributions:48 commits, 24 PRs, 35 pushes in 5 months
python
PeterDeWeirdt/defense_predictor
Jan 2025 - Apr 2026
Python package to run DefensePredictor, a machine learning model to identify proteins involved in anti-phage defense
Contributions:1 release, 1 PR, 17 pushes in 1 year 3 months
machine-learning-modelspython
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