Kathy Chen
Graduate Student
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolKathy Chen is a computational biologist and software-savvy graduate student with 11 years of experience applying deep learning to genomics and human disease. At Princeton she develops sequence-based ML methods to probe noncoding variation in conditions like congenital heart disease and breast cancer while coordinating interdisciplinary collaborations. Previously at the Flatiron Institute she designed a convolutional neural network that predicts ~20,000 chromatin features from DNA and created Selene, an open-source library for sequence-based models. Her background blends hands-on software engineering—from performance tooling at MongoDB to reactive analytics at Goldman Sachs—with rigorous training in computer science and biochemistry from UPenn. Colleagues describe her work as grounded in reproducible open science and focused on translating large-scale sequence data into biological insight. She pairs a deep technical toolkit with a knack for building tools that scale across many genomic datasets.
11 years of coding experience
5 years of employment as a software developer
Troy High SchoolBachelor of Arts (B.A.), Computer Science and Biochemistry, Bachelor of Arts (B.A.), Computer Science and Biochemistry at University of Pennsylvania
English, Chinese
Github Skills (28)
pytorch10
package-management10
nosql10
python10
data-science10
scikit10
statistics10
machine-learning10
conda10
mongodb-database10
deep-learning10
scikit-learn10
bioinformatics10
sequence10
mongodb10
Programming languages (6)
Github contributions (5)
kchen17/kchen17.github.io
Mar 2016 - May 2016
Contributions:37 commits, 34 pushes, 1 branch in 2 months
kathyxchen/selene
Nov 2018 - Dec 2024
a framework for training sequence-level deep learning networks
Contributions:309 pushes, 75 branches in 6 years 2 months
pytorchsequencedeep-learningmachine-learningtraining
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