Akihiro Matsukawa
Quantitative Researcher
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAkihiro Matsukawa is a quantitative researcher with 14 years of experience applying probabilistic deep learning, generative models, and reinforcement learning to real-world problems across top-tier firms. He has combined research and production expertise from DeepMind—where he worked on generative models for anomaly detection and helped launch WaveNet on Google Assistant—to quantitative roles at D. E. Shaw and now Citadel. His background spans large-scale ML engineering (TPU training, hyperparameter tuning), data infrastructure and pipelines from earlier roles at Google and Twitter, and Bayesian modeling research begun at UC Berkeley. Akihiro’s work bridges cutting-edge uncertainty quantification with practical trading and systems deployments, reflecting a rare blend of academic rigor and production-first engineering in finance and ML.
14 years of coding experience
13 years of employment as a software developer
Bachelor's degree Electrical Engineering and Computer Science, Bachelor's degree Electrical Engineering and Computer Science at University of California, BerkeleyMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
English, Chinese, Japanese
Stackoverflow
841reputation
75kreached
2answers
21questions
Github Skills (90)
python10
deep-learning10
gpu10
machine-learning10
pandas9
numpy9
neural-network9
datasets9
netcdf9
pytorch9
pdf9
docx9
zeplin9
tensorflow9
emacs8
Programming languages (6)
Github contributions (5)
codeAshu/twitter_sentiment
Nov 2011 - Dec 2011
Contributions:11 commits in 9 days
amatsukawa/doom.d
Apr 2020 - Aug 2020
Contributions:20 pushes, 2 branches in 4 months
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