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Visiting Scholars

Visiting Scholars


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.

Shigeru Maya

Visiting Scholar from: Toshiba Corporation, 2020-21
Topic: Data Analysis

Affiliated Faculty: Jure Leskovec, Computer Science Department

Shigeru Maya is a Researcher at Toshiba Corporation. He received his Bachelor of Engineering and Master of Information Science and Technology from the University of Tokyo. His research interests include data mining and time series analysis. He is actively involved in developing new technologies to solve practical problems.

Hiromu Hota

Visiting Scholar from: Hitachi, 2018-20
Topic: Machine Learning

Affiliated Faculty: Christopher Re, Computer Science Department

Dr. Hiromu Hota is a Researcher at Hitachi America, Ltd. He received his Ph.D. in Computational Science and Engineering from Nagoya University, Japan. His research interests include unstructured data analysis, especially in finance. He is an open-source advocate as he's been contributing to Pentaho for the last couple of years.

Keita Yokoyama

Visiting Scholar from: DOCOMO Innovations, 2018-21
Topic: Machine Learning

Affiliated Faculty: Jure Leskovec, Computer Science Department

Keita Yokoyama is a Senior Research Engineer at DOCOMO Innovations, Inc. He aims to apply advanced data analysis technology to practical applications, with emphasis on representation and prediction from large amounts of multivariate time series data. He earned a Master's degree in Knowledge Science from Japan Advanced Institute of Science and Technology.

Saeideh Shahrokh Esfahani

Visiting Scholar from: Accenture, 2018-20
Topic: Machine Learning

Affiliated Faculty: Christopher Re, Computer Science Department

Saeideh Shakrokh Esfahani is a Senior Analyst in the Artificial Intelligence team at Accenture Labs. She received her Master's degree in Physics from Texas A&M University focusing on Quantum Information and Quantum Error Correction. Saeideh is passionate in developing and implementing novel machine learning algorithms with the emphasis on natural language processing.

Yusuke Tashiro

Visiting Scholar from: Mitsubishi UFJ Trust Investment Technology Institute, 2019-2021
Topic: Machine Learning

Affiliated Faculty: Stefano Ermon, Computer Science Department

Yusuke Tashiro is a researcher at MTEC (Mitsubishi UFJ Trust Investment TEChnology Institute), a member of MUFG (Mitsubishi UFJ Financial Group). He also works for Japan Digital Design. He received his Ph.D in Information Science and Technology from Tokyo University. He is interested in developing machine learning algorithms and applying them to practical problems, with emphasis on analysis of financial data.

Yuta Koreeda

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.