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Visiting Scholars

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The Stanford Data Science Initiative program provides an opportunity for member companies to send a researcher to Stanford University as a visiting scholar to study and engage in research under the direction of a Stanford faculty member. Visiting Scholars appointments are usually made for up to one year, although shorter appointments are possible. The program is intended to build relationships for collaboration through an exchange of ideas. Stanford policy on Visiting Scholars can be found at this link.

Yoshitaka Inoue

Yoshitaka headshot

Visiting Scholar from: DOCOMO Innovations, Inc., 2021-22
Topic: Graph Neural Network

Affiliated Faculty: Jure Leskovec, Computer Science Department

Yoshitaka Inoue is a Senior Data Scientist at DOCOMO Innovations, Inc. He received his Master of Engineering from Tokyo Institute of Technology. His research focuses on analyzing spatio-temporal data, predicting customer behavior, and applying these technologies to business problems.

Yasushi Miyata

Yasushi Miyata

Visiting Scholar from: Hitachi America, Ltd., 2021-22
Topic: Dark Data Analysis

Affiliated Faculty: Chris Re, Computer Science Department

Yasushi Miyata is a Researcher at Hitachi America, Ltd. He received his M.E. degree in electrical engineering from Kyoto University in Japan. His research interests include databases, data mining, and dark data analysis. He focuses on applying these technologies to the real-world business, especially, the financial business.

Akira Egawa

Akira Egawa

Visiting Scholar from: Hitachi, Ltd., 2022
Topic: Innovation and Business Model Design

Affiliated Faculty: Riitta Katila, MS&E

Akira Egawa is a Senior Researcher at Hitachi, Ltd. He received his Ph.D. in Engineering from the University of Tokyo. He is interested in theory and methodology for innovation and business model design and applying them to new business incubation activities such as co-creation among his company, their customers and various partners.

Yuta Koreeda

Yuta Koreeda headshot

Visiting Scholar from: Hitachi, 2020-2022
Topic: Natural Language Processing

Affiliated Faculty: Christopher Manning, Computer Science Department

Yuta Koreeda is a Researcher at Hitachi America, Ltd. He received his M.D. in Mechanical Engineering, with honors from Waseda University in Tokyo. He is interested in natural language processing and applied machine learning, with emphasis on facilitating these technologies to the real-world business/industrial data.