Doctoral Student at Mila - Quebec Artificial Intelligence Institute
Montreal, Quebec, Canada
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Summary
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Hiroki Naganuma is a PhD candidate at Université de Montréal and Mila specializing in the training dynamics and generalization of deep neural networks, advised by Prof. Ioannis Mitliagkas. Over 11 years of experience span academic research and industry internships at DeepMind, Meta, Microsoft Research, IBM, and LinkedIn, yielding publications in AISTATS and TMLR. His work blends theoretical insights—information geometry, smoothing losses, and optimization—with practical systems skills in Python, C++, and CUDA for large-scale and HPC settings. He has repeatedly bridged lab and industry needs, producing algorithms for robust training, calibration, and efficient large-batch/large-model workflows. Notably, his profile reflects a pattern of short, high-impact collaborations across top AI labs, signaling an ability to move ideas from theory to deployable systems.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université de Montréal
Master's degree, Computer Science, 4.0/4.0, Master's degree, Computer Science, 4.0/4.0 at Tokyo Institute of Technology
4.9/5.0, 4.9/5.0 at Chuo University Suginami High School
Contributions:20 commits, 10 PRs, 22 pushes in 15 days
kotlinandroidandroid-activity
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Hiroki Naganuma - Doctoral Student at Mila - Quebec Artificial Intelligence Institute