Software Engineer at Google DeepMind

Ph.D. (Information Science and Technology), The University of Tokyo

Focusing on Generative AI for information tasks and search (QA) quality.

Hidekazu Oiwa

💼 Experience

Google DeepMind

Software Engineer

2025/08 – Present

Google

Software Engineer (Machine Learning)

2018/01 – 2025/08

Recruit Holdings Co., Ltd. / Megagon Lab

Researcher

2015/04 – 2017/12

Stanford University

Visiting Scholar

2015/09 – 2017/08

NEC Laboratories America

Visiting Research • Supervisor: Dr. Ryohei Fujimaki

Microsoft Research Asia

Research Internship • Supervisor: Dr. Junichi Tsujii

📚 Selected Publications

Full list on Google Scholar →

DeepSearchQA: Bridging the Comprehensiveness Gap for Deep Research Agents

Nikita Gupta, Riju Chatterjee, Lukas Haas, Connie Tao, Andrew Wang, Chang Liu, Hidekazu Oiwa, Elena Gribovskaya, Jan Ackermann, John Blitzer, Sasha Goldshtein, Dipanjan Das

arXiv 2026 Paper

Scalable Semantic Querying of Text

Xiaolan Wang, Aaron Feng, Behzad Golshan, Alon Halevy, George Mihaila, Hidekazu Oiwa, Wang-Chiew Tan

VLDB 2018

Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach

Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shinbo, Yuji Matsumoto

IJCAI 2017

Partition-wise Linear Models

Hidekazu Oiwa, Ryohei Fujimaki

NIPS 2014 Paper

Online and Stochastic Learning with a Human Cognitive Bias

Hidekazu Oiwa, Hiroshi Nakagawa

Healing Truncation Bias : Self-weighted Truncation framework for Dual Averaging

Hidekazu Oiwa, Shin Matsushima, Hiroshi Nakagawa

ICDM 2012 Preprint Slides

🎓 Education

Ph.D., Mathematical Informatics, The University of Tokyo

Concentration: Machine Learning, Natural Language Processing • Supervisor: Hiroshi Nakagawa

Recipient of Research Fellowship for Young Scientists (DC1) from JSPS

2010/04 – 2015/03

BA, Engineering, The University of Tokyo

Concentration: Financial Statistics, Economics • Supervisor: Fumiko Takeda

2006/04 – 2010/03

🏆 Selected Honors & Achievements

Microsoft Research Asia Excellent Internship Award

Microsoft Research Asia

2014

IPSJ Computer Science Research Award for Young Scientists & Presentation Award

82th Conference of Mathematical Modeling and Problem Solving • Paper: "L1 regularized online supervised learning using feature frequency."

Mar 2011

Engineering Dean's Award for students & Outstanding Research Award

The University of Tokyo • Paper: "The Economic Impact of Herd Behavior in the Japanese Loan Market."

Mar 2010