Pin-ju Tien is a Machine Learning Researcher with a PhD in Physics and a decade of experience applying ML to AdTech and finance, currently driving research at Trumid in New York. She has a strong track record building end-to-end ML systems—data onboarding, modeling, MLOps, deployment and A/B testing—across trading desks and programmatic advertising. Her work bridges quantitative research and production engineering, from bond pricing models at Tradeweb to bidding and reinforcement learning systems at MediaMath. Pin-ju is also a published deep learning researcher (ICML-adjacent GANMEX paper on GAN-based model explainability), reflecting an unusual blend of theoretical rigor and product-focused delivery. Clients and employers value her for turning complex research into robust data products that meet operational constraints in finance.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS) Physics, Bachelor of Science (BS) Physics at National Tsing Hua University
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at Stony Brook University
Contributions:13 pushes, 1 branch in 6 years 4 months
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