Jeremy Tien
Graduate Student Researcher
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolJeremy Tien is a Machine Learning PhD student at Carnegie Mellon University with eight years of experience building and researching applied AI systems across academia and industry. He combines rigorous research in human-robot interaction from his time at Berkeley AI Research with hands-on engineering experience from internships at Amazon and Tact.ai, where he developed a Pointer Network for text-to-SQL on the challenging Spider dataset. Based in the San Francisco Bay Area, Jeremy bridges theory and product by translating state-of-the-art ML techniques into usable features for sales and consumer tech. He has published research in interactive learning settings and contributed to projects that emphasize practical integration and error analysis beyond pure model performance. Colleagues describe him as someone who quickly pivots between research depth and product constraints, often surfacing non-obvious failure modes that improve real-world reliability.
9 years of coding experience
4 years of employment as a software developer
B.S. Electrical Engineering and Computer Science, B.S. Electrical Engineering and Computer Science at University of California, BerkeleyFull-Time Training in AnaheimMonta Vista High SchoolDoctor of Philosophy Machine Learning, Doctor of Philosophy Machine Learning at Carnegie Mellon University
English, Chinese
Github Skills (11)
statistics9
jupyter-book6
data-science5
ipython3
jupyterlab3
helm3
jupyterlab-extension3
jupyterhub3
jupyter2
jupyter-notebook2
stat1
Programming languages (5)
Github contributions (5)
jeremy-sanchez/course-materials-summer2023
Aug 2022 - May 2023
Contributions:2 PRs, 184 pushes, 11 branches in 8 months
data-8/materials-fa24
Aug 2024 - Dec 2024
Data 8 Public Materials for Fall 2024
Contributions:64 pushes in 3 months
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