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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.

Saeideh Shahrokh Esfahani

Saeideh Shakrokh Esfahani

Topic: Machine Learning
Affiliated Faculty: Christopher Re, Computer Science Department
Visiting Scholar from Accenture, 2018-19

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.

Keita Yokoyama

Keita Yokoyama

Topic: Machine Learning
Affiliated Faculty: Jure Leskovec, Computer Science Department
Visiting Scholar from DOCOMO Innovations, 2018-19

Keita Yokoyama is a Senior Research Engineer at DOCOMO Innovataions, 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.

Shikai Chern

Shikai Chern

Topic: Artificial Intelligence
Affiliated Faculty: Edward Feigenbaum, Computer Science Department
Visiting Scholar from Veritas Technologies, 2017-18

Dr. Shikai Chern is a leading technology strategist and AI scientist and director in the CTO Office at Veritas Technologies. He has great passion and interests in mathematics & artificial intelligence research & applications:  Mathematics/Statistics, AI/Machine Learning, Data Science, Semantic & Cognitive Computing, Computational Knowledge Graphs, Neuroscience & Cognitive Science (Mind and Brain), and History & Philosophy of Science.

Before Veritas, Shikai had been a science & technology leader in Adobe, BEA, and McGraw-Hill Education, as well as the founder & chief scientist in a Mathematics & AI start-up.  Shikai received his Ph.D. in Mathematics from the Ohio State University, working in the subjects of Noncommutative Geometry and Partial Differential Equations.

Jay Boddu

Jay Boddu

Topic: Artificial Intelligence/Machine Learning
Affiliated Faculty: Peter Bailis, Computer Science Department
Visiting Scholar from Juniper Networks, 2017-18

Jay Boddu is Vice President of New Products at Juniper Networks, where he is responsible for shaping ideas into profitable businesses. He is currently leading the development of a class of new products that leverages Artificial Intelligence and Machine Learning. Jay previously held roles in venture capital, product management and product development at Sofinnova Ventures, Juniper Networks, ATI Technologies (acquired by AMD), and Sun Microsystems (acquired by Oracle).

Jay has completed the Advanced Management Program (AMP) from Harvard Business School, an MBA in Marketing, Finance and Entrepreneurship from Santa Clara University, a MS in Electrical Engineering from Iowa State University, a B. Tech in Electrical Engineering from Indian Institute of Technology, Mumbai. Jay holds 50+ Patents in High Performance Computing, Networking, Virtualization, and Artificial Intelligence.

Raghu Subramanian

raghu subramanian

Topic: Artificial Intelligence
Affiliated Faculty: Dan Jurafsky, Linguistics and  Computer Science Departments
Visiting Scholar from Juniper Networks, 2017-18

Raghu Subramanian is Corporate Vice President of Emerging Technologies at Juniper Networks, where his focus is to understand recent advances in Artificial Intelligence and to find practical uses at Juniper. He has held several roles at Juniper, most recently leading the 900-strong technical half of Juniper's worldwide sales organization. Prior to that, he was chief strategist for the security division, product evangelist to channel partners, and product manager for some of the company's early routers.

In past lives, Subramanian has been a chip designer at Hewlett Packard, an R&D manager at a start-up (later acquired), and an intern at a venture capital firm. Subramanian has an MBA from the MIT Sloan School of Management, Ph.D. in Computer Science from the University of California at Irvine, and a B.Tech. in Electrical Engineering from the Indian Institute of Technology at Kanpur.

Masahito Togami

Masahito Togami

Topic: Machine Learning
Affiliated Faculty: Peter Bailis, Computer Science
Visiting Scholar from Hitachi, 2016-17

Dr. Masahito Togami is a Senior Researcher at Hitachi America, Ltd. He received a Ph.D. degree from University of Tokyo in aerospce engineering. He joined Hitachi's Central Research Laboratory in 2003, when he developed automatic speech recognition under noisy environments for service robots (EMIEW1-3), speech source separation with multiple microphones, speech derever beration for teleconferencing systems, and statistival signal processing. From 2012 to 2016, he was the leader of statistical signal processing and speech processing research team in Hitachi. Togami authored or co-authored over 40 international conference papers, 9 full papers. He holds over more than 20 patents in Japan and in the US and received 9 awards. Togami is now greatly interested in machine learning and statistical signal processing.

Andreas Berger and Hans-Martin Hellebrand

Topic: Energy Systems
Affiliated Faculty: Peter Bailis, Computer Science and Ram Rajagopal, Civil and Environmental Engineering
Visiting Scholars from RWE, 2015-16

Dr. Andreas Berger is Senior VP, Global Innovation and Cooperation at RWE New Ventures.  Berger earned a PhD in Business Law, a degree in Eastern European Studies, a degree as business mediator and recently finished his MBA-Studies. His background is as an attorney in banking and finance, including mergers and acquisitions and product launches. Hans-Martin Hellebrand is a Senior Innovation Manager at RWE New Ventures. Hellebrand holds a first-class diploma in business administration and graduated as valedictorian in graduation year 2006 at the university of Bielefeld.  His experience includes IT-supply controlling, legal-entity controlling and corporate finance.


During the upcoming months, RWE's research at Stanford is focusing on understanding the future of energy systems, wherever centralized or decentralized, to explore alternative business models and transformative technologies especially in the areas of big data and the Internet of things (IoT).