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
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0questions
Github Skills (22)
rule6
plotly6
charts6
webgl6
visualization6
regl5
data-visualization5
dashboard5
javascript5
plotly-dash4
python4
twine4
charting3
machine-learning2
genetic2
Programming languages (3)
Github contributions (5)
gpp-rnd/sglearn
Aug 2020 - Jul 2021
Contributions:42 commits, 12 PRs, 25 pushes in 11 months
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
crisprpythonpython-packageanalyze
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