School of Engineering
Showing 51-100 of 235 Results
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Martin Jose Gonzalez
Ph.D. Student in Management Science and Engineering, admitted Autumn 2025
BioMartin is a Org Design and Development Lead at Google DeepMind. In his 10+ year tenure at Google, he’s also worked with leadership teams across its most important product areas including YouTube, Search, Cloud, Payments, Pixel, Fitbit to shape their org’s culture, grow their people and build cool things that matter.
He is also the creator of Google for Startup’s Effective Founders Project, a global research project that uses people analytics to understand what makes the best startup founders succeed, and shares their success formula with the world. He has run leadership courses and mentored thousands of tech startup founders, from seed stage to unicorn, across more than 70 countries in the Americas, Asia, Africa, and Europe. He is the bestselling author of "The Bonfire Moment: Bring Your Team Together to Solve the Hardest Issues Startups Face."
He’s a frequent lecturer at MBA and Engineering programs at Stanford, Wharton, and INSEAD. Before Google, he was a strategy and organization consultant at Boston Consulting Group’s Asia Pacific consulting practice, and a product manager at Johnson & Johnson, Philippines. He’s advised C-Suite executives across a wide range of industries such as consumer goods and retail, healthcare, industrial goods, tourism, financial services, telecommunications and now technology.
Martin holds two master’s degrees in organizational psychology and behavioral science from Columbia University and the London School of Economics, and is currently pursuing a PhD in Management Science and Engineering (advisor: Prof. Melissa Valentine).
He’s lived and worked in New York, Jakarta, Singapore, Taipei and Manila where he is originally from. Today, he lives in the San Francisco Bay Area with his wife and three kids. -
Yinbin Han
Ph.D. Student in Management Science and Engineering, admitted Autumn 2025
BioYinbin Han is a Ph.D. student in the Department of Management Science and Engineering at the Stanford University. Before joining Stanford, Yinbin was a Ph.D. student in the Department of Finance and Risk Engineering at the New York University from 2024 - 2025 and in the Epstein Department of Industrial and Systems Engineering at the University of Southern California from 2021 - 2024. Yinbin is fortunate to be co-advised by Prof. Renyuan Xu (Stanford) and Prof. Meisam Razaviyayn (USC). Yinbin obtained his B.S. in Mathematics from the Chinese University of Hong Kong, Shenzhen, where he was advised by Prof. Zizhuo Wang. Yinbin's research interests include diffusion models, reinforcement learning, stochastic control and nonconvex optimization.
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Kent Hippler
Ph.D. Student in Management Science and Engineering, admitted Summer 2025
BioKent Hippler is a PhD student in the Decision and Risk Analysis (DARA) Group in Stanford's Department of Management Science and Engineering, advised by Dr. Elisabeth Paté-Cornell. His current research focuses on risk attitudes in AI Decision Support Systems.
Prior to pursuing his PhD, Kent served as a Nuclear Surface Warfare Officer in the U.S. Navy, supporting three western Pacific deployments aboard the USS Anchorage and USS Theodore Roosevelt. He later worked as a Systems Engineer at Maxar Technologies and a Software Engineer at Amazon. Kent holds a B.S. in Nuclear Engineering, summa cum laude, from the University of Florida (2016) and an M.S. in Management Science and Engineering from Stanford (2025), where he worked with the Language Data and Reasoning Lab under the advisement of Dr. Amin Saberi. -
Connor Hoffmann
Masters Student in Management Science and Engineering, admitted Summer 2023
BioConnor assists with research and programs led by Dr. Palmer’s group in conjunction with CISAC. His interests include how technology development shapes social and political orders, norms and governance practices with a particular focus in the life sciences. Connor received an Honors Baccalaureate and Bachelors in Chemical Engineering, Biological Engineering, and Interdisciplinary Studies (BS) with foci in biological engineering, economics and political science from Montana State University. His thesis work studied the application of nuclear nonproliferation norms to dual-use biotechnology. He also conducted research on the biochemistry and structural biology of CRISPR-Cas systems under the direction of Dr. Blake Wiedenheft during his undergraduate studies. Connor was named a Truman Scholar, the premier graduate fellowship in the United States for those pursuing careers as public service leaders. Before joining Stanford, he worked with the American Council for an Energy Efficient Economy [ACEEE] to develop a connected and autonomous vehicle policy toolkit. An avid outdoorsman, he can be found after hours exploring the backcountry with his mountain bike, touring skis, climbing gear, or backpack.
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Andrew Hong
Masters Student in Management Science and Engineering, admitted Autumn 2022
BioI study the intersection of machine learning and social sciences to better align tech with society and use computational methods to understand human behavior. My research focuses on building software and statistical methods to quantify fairness of various electoral voting systems. Now, I'm a Machine Learning Analyst in Google's Trust & Safety Team while finishing my Masters in Management Science & Engineering.
MS: Management Science & Engineering, concentration in computational social sciences
BA: Data Science & Social Systems, concentration in socio-political behavior analysis
