School of Engineering
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Anay Mehrotra
Postdoctoral Scholar, Management Science and Engineering
BioI am a Postdoctoral Scholar at Stanford, where I am excited to work with Amin Saberi. I completed my Ph.D. at Yale University where I was fortunate to be advised by Amin Karbasi and Manolis Zampetakis.
My research focuses on machine learning under complex conditions where traditional assumptions break down. My work has two parts. First, I develop foundations for machine learning with missing and selectively observed data (spanning causal inference, limited-dependence, truncated statistics, and omissions shaped by societal biases). Second, I study why generative AI systems (including language models) are effective and design methods to evaluate and improve their safety.
My work has received the Best Paper Award at COLT, been featured in WIRED, and received the Sir Binay Kumar Sinha award from IIT Kanpur. As an undergraduate, I represented IIT Kanpur at the ICPC World Final. While at Yale, I also taught at the Yale ICPC Club. -
Yuchen Mei
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioYuchen Mei is an EE Ph.D. student at Stanford University in Prof. Priyanka Raina's group. He received a B.S. degree in Electronic Information Science and Technology from Nanjing University (China) in 2021 and a M.S. degree in Electrical Engineering from Stanford in 2023. He is interested in digital VLSI design, domain-specific accelerators, and design automation.
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Simona Meiler
Postdoctoral Scholar, Civil and Environmental Engineering
BioI am a weather and climate risk scientist, studying how hazard, exposure, and vulnerability interact to shape the risks and impacts of extreme weather events – both today and in a changing climate. My work combines modeling and systems thinking to explore a range of topics, including tropical cyclone risk, uncertainty and sensitivity analysis, human displacement, post-disaster recovery, and systemic risk. My approach is inherently interdisciplinary, with the goal of translating model insights into real-world applications that support climate-resilient decision-making.
I am currently a postdoctoral researcher at Stanford University, supported by an SNSF Postdoc.Mobility fellowship, working with Prof. Jack W. Baker. I completed my PhD at ETH Zurich in weather and climate risk modeling, with a focus on global tropical cyclone risk and uncertainty quantification, under the supervision of Prof. David N. Bresch. -
Luis Mejia
Affiliate, Materials Science and Engineering
BioLuis has been a technology transfer professional at Stanford for over 30 years. He is a volunteer for Climate Donor, Inc. a non-profit that helps fund climate change and species extinction mitigation projects. Prior to joining Stanford he worked on solar energy systems and energy management at Honeywell and Pacific Gas & Electric. He has a degree in Energy Systems Engineering from Arizona State University, is a Fellow of the Disruptor Foundation and is a recipient of an award for Excellence in Technology Transfer from the Department of Energy, Federal Laboratory Consortium.
