Bob Chen

PhD Candidate

Nashville-Davidson, Tennessee, United States
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Summary

👤
Senior
🎓
Top School
Bob Chen is a PhD candidate and computational scientist with eight years applying machine learning to complex systems, spanning human-computer interaction, cancer multi-omics, and tumor microenvironment analysis. Based at Vanderbilt University and affiliated with the Ken-Lau-Lab, he combines rigorous wet-lab training in molecular and cellular biology with computational systems biology to translate high-dimensional data into biological insight. His work integrates computational modeling and multi-omic data fusion to probe tumor ecology and therapeutic response, reflected in a visible publication record on Google Scholar. Comfortable at the intersection of biology and data science, he brings both experimental intuition and algorithmic rigor to interdisciplinary teams. An understated strength is his ability to pivot techniques across domains, from HCI problems to cancer systems, revealing a versatile research toolkit.
code8 years of coding experience
bookDoctor of Philosophy - PhD, Chemical and Physical Biology, Doctor of Philosophy - PhD, Chemical and Physical Biology at Vanderbilt University
bookUniversity of Illinois Urbana-Champaign
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Github Skills (19)

python6
bioinformatics5
genomics5
transcriptomics5
feature-selection5
seq4
infer4
rna-seq4
transcription3
scenic3
lightning2
clustering2
pipeline2
inference1
docker1

Programming languages (3)

TypeScriptJupyter NotebookPython

Github contributions (5)

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Ken-Lau-Lab/STAR_Protocol

Sep 2020 - Apr 2021

Contributions:36 commits, 1 push in 6 months
bobchen1701/pCreode

Mar 2019 - Feb 2021

An algorithm for mapping cell state transitions.
Contributions:10 reviews, 5 PRs, 17 pushes in 1 year 10 months
pythoncell-statetransitionsmappingstate-transitions
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Bob Chen - PhD Candidate