Kyunghyun Cho
Global Academic Director Of The NYU-KAIST Partnership at New York University
New York, New York, United States
Summary
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Senior🎓
Top SchoolKyunghyun Cho is a multidisciplinary AI researcher and leader with 13 years of experience bridging academia, industry, and open-source engineering from New York. He holds a PhD in machine learning and has progressed from postdoctoral research to professorships and endowed chairs at NYU while founding and directing global AI initiatives like the Global AI Frontier Lab and the NYU-KAIST partnership. Concurrently he leads frontier research at Genentech and serves on influential boards including ICLR and CIFAR, demonstrating a rare ability to translate cutting‑edge ML research into industry and policy impact. His background spans hands‑on software and test automation—contributing QA work to Theano’s scan module—through to high-level strategic roles guiding international collaborations. Colleagues know him for combining rigorous deep‑learning scholarship with pragmatic engineering and an appetite for building cross‑institutional research ecosystems. He is based in New York and maintains active ties to global research communities, including the National Academy of Engineering of Korea.
13 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Machine Learning (Deep Learning), Doctor of Philosophy (Ph.D.) Machine Learning (Deep Learning) at Aalto UniversityBachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Korea Advanced Institute of Science and Technology
English, Korean
Stackoverflow
166reputation
4kreached
1answer
0questions
Github Skills (8)
unit-testing10
python10
theano10
numpy10
test-automation10
machine-learning9
deep-learning6
gradient-descent6
Programming languages (6)
Github contributions (5)
Theano/Theano
Mar 2015 - Mar 2015
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:8 commits, 5 PRs, 19 comments in 3 days
Contributions summary:Kyunghyun primarily contributed to the testing infrastructure of the repository, specifically focusing on the `scan` module. Their work involved adding unit tests to validate the functionality of the `scan` module, especially the `strict` mode. They also addressed a minor description issue. Overall, the contributions center on ensuring the reliability and correctness of the code through testing.
python-librarymathmulti-dimensionalpythonevaluate
kyunghyuncho/rl-pong
Feb 2019 - Apr 2019
Contributions:83 commits, 31 pushes in 2 months
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