Tianming Zhou
Machine Learning Engineer at Affirm
Dallas, Texas, United States
Summary
👤
Senior🎓
Top SchoolTianming Zhou is a Machine Learning Engineer and sixth-year Ph.D. candidate at Carnegie Mellon University with nine years of experience building deep learning and probabilistic models at the intersection of biology and computation. He designs neural networks and graphical models for protein-protein interactions and single-cell multi-omics, and is skilled at high-performance PyTorch implementations and GPU acceleration to take models from prototype to production. A Tsinghua Yao Class alumnus with formal training in theoretical CS, statistics, and biology, he also brings a decade of competitive programming experience—earning a silver medal in China’s NOI—which he has used to craft course exams and algorithmic assignments as a TA. Now based in Dallas and recently joining Affirm, he blends rigorous research, production-focused engineering, and reproducible implementation practices to tackle biologically motivated ML problems.
9 years of coding experience
Visiting Student Computational Biology, Visiting Student Computational Biology at Toyota Technological Institute at ChicagoBachelor of Engineering - BE Computer Science and Technology (Yao Class), Bachelor of Engineering - BE Computer Science and Technology (Yao Class) at Tsinghua UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Carnegie Mellon University
Github Skills (7)
spatial-transcriptomics10
transcriptomics10
bioinformatics9
spatial9
machine-learning8
computational-biology2
genomics1
Programming languages (2)
Github contributions (5)
ma-compbio/SpiceMix
Nov 2019 - Jan 2023
spatial transcriptome, single cell
Contributions:1 release, 69 commits, 4 PRs in 3 years 2 months
spatial-transcriptomicsrnaseqspatialtranscriptomemachine-learning
tianmingzhou/tianmingzhou.github.io
Jan 2023 - May 2024
Contributions:21 pushes, 1 branch in 1 year 3 months
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