Richard Zhang
PhD Candidate
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolRichard Zhang is a PhD candidate in Quantitative and Computational Biology at Princeton with eight years of interdisciplinary experience applying computational methods to single-cell multi-modal genomics and lineage tracing. Based in Berkeley, he blends strong foundations in computer science and statistics (UC Berkeley) with hands-on lab and engineering roles at Yosef Lab, GSK, and Fox Chase Cancer Center. His work spans algorithm development, reproducibility and outlier detection in high-throughput data, and novel uses of matrix factorization for genomic prediction models. Co-supervised by Michelle Chan and Benjamin Raphael and formerly mentored by Nir Yosef, he operates at the interface of method development and biological insight. He is particularly skilled at translating complex single-cell datasets into tractable models that reveal lineage and regulatory patterns. Colleagues appreciate his ability to pair rigorous quantitative thinking with practical experimental awareness.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Majors: Computer Science, Statistics. Minor: Philosophy, Bachelor of Arts - BA, Majors: Computer Science, Statistics. Minor: Philosophy at University of California, BerkeleyUpper Dublin High SchoolDoctor of Philosophy - PhD, Quantitative and Computational Biology, Doctor of Philosophy - PhD, Quantitative and Computational Biology at Princeton University
Chinese
Github Skills (9)
bioinformatics10
computational-biology10
agent3
reinforcement-learning2
deep-learning2
deep-reinforcement-learning2
image-reconstruction1
electrophysiology1
deep-neural-networks1
Programming languages (3)
Github contributions (5)
richardyz98/CARTA_copy
Aug 2024 - Jan 2025
Contributions:1 PR, 13 pushes in 5 months
YosefLab/theoretical_lineage_tracing_reproducibility
Nov 2022 - Dec 2022
Contributions:2 pushes, 1 branch in 14 days
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