Songpeng Zu is a postdoctoral researcher at Harvard with 11 years of experience at the intersection of machine learning, genomics, and drug discovery. Trained in biology and control science at Tsinghua University, his PhD applied statistical machine learning to predict drug–protein interactions, bridging wet‑lab insight with computational rigor. He moved into industry roles at Hulu and Alibaba, where he built large-scale recommendation and algorithm systems and learned to productionize deep learning on big data. Now his research develops statistical algorithms and performs data analysis for single-cell sequencing and tumor immunotherapy, blending methods development with translational impact. Songpeng’s background uniquely pairs streaming-scale engineering practices with genomics expertise, enabling robust, scalable analysis pipelines for biomedical problems. His work is documented on his academic site (beyondpie.github.io) and spans genomics, neuroscience, drug discovery, and AI.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Control Science and Engineer, Doctor of Philosophy - PhD, Control Science and Engineer at Tsinghua University
Contributions:3 commits, 2 pushes, 1 branch in 3 years 1 month
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