Summary
Tianyi Peng is an Assistant Professor and machine learning researcher with a decade of experience building algorithms for large-scale, dynamic settings, blending academic rigor from MIT with industry-facing product work. After a PhD focused on machine learning, causal inference, and quantum information, Tianyi transitioned from research roles at MIT and a stint developing recommendation systems at TikTok to applied AI work as an AI Research Scientist at Cimulate.AI creating a generative Customer-GPT. Now based in Cambridge and starting a faculty role at Columbia, Tianyi bridges theoretical foundations and real-world systems, with strengths in scaling models and marrying causal insights to production ML. Notably, their background in the elite Yao Class at Tsinghua and cross-domain PhD training suggest an ability to take on high-dimensional, interdisciplinary problems that span theory to deployment.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Causal Inference, Quantum Information, Doctor of Philosophy - PhD, Machine Learning, Causal Inference, Quantum Information at Massachusetts Institute of Technology
Bachelor's degree, Computer Science (Yao Class), Bachelor's degree, Computer Science (Yao Class) at Tsinghua University