Summary
Andrew Chen is a bioinformatics-focused data scientist and PhD candidate at Boston University with eight years of experience bridging machine learning, multi-omics analysis, and biomedical applications. He develops scalable, interpretable methods for network analysis and has applied causal ML, reinforcement learning, and graph neural networks to problems from protein abundance prediction to antiviral drug discovery. His work spans academia, national labs, and startups—contributing to ICLR and Scientific Reports papers while consulting on diagnostic ML products. Comfortable with both classical computer vision and modern deep learning, he brings a track record of turning complex biological data into actionable models and interpretable insights.
7 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Statistics, Honors, Bachelor's degree, Statistics, Honors at University of California, Berkeley
High School, High School at West Island School
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at Boston University
English, Chinese