School of Engineering
Showing 551-600 of 2,827 Results
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Varun Dolia
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2021
BioVarun Dolia is a Benchmark Fellow and a Ph.D. candidate in Prof. Jen Dionne's lab. He is excited about developing nanophotonic platforms for health and environmental monitoring.
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Changxin Lyla Dong
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2022
BioLyla Dong is committed to advancing innovative materials solutions that address critical challenges in health and environmental sustainability. Her research spans multiple fields, including hydrogel development, materials characterization, and electrochemistry. As a PhD candidate at Stanford University advised by Professor Eric A. Appel, she focuses on creating cutting-edge materials to protect against wildfires and improve therapeutic delivery systems.
Prior to her studies at Stanford, Lyla conducted research under the mentorship of Professors Pulickel M. Ajayan and Haotian Wang at Rice University. She developed functional materials for batteries and explored technologies for carbon capture, discovering her passion for sustainable materials science.
Through her interdisciplinary approach, Lyla strives to bridge the critical intersections between health and environmental sustainability, creating solutions that have a real-world impact. -
Junting Duan
Ph.D. Student in Management Science and Engineering, admitted Autumn 2020
BioJunting Duan is a PhD candidate in the Department of Management Science and Engineering (MS&E) at Stanford University. Prior to joining Stanford, she received her B.S. in Mathematics and Applied Mathematics from Peking University in 2020.
Junting's research interests lie broadly in data-driven decision-making, focusing on statistical inference and machine learning, with applications to causal inference and finance. Her research develops new methodologies with rigorous statistical foundations that enable reliable decision-making with complex and imperfect data, and lies at the intersection of (1) statistical learning for high-dimensional data; (2) causal inference; and (3) machine learning for finance and risk management. Her work has been recognized through publications and revisions at top journals including Management Science and the Journal of Econometrics, as well as invitations to present at major conferences such as the American Economic Association Annual Meeting, the NBER-NSF Time-Series Conference, the NBER Forecasting & Empirical Methods Conference, and the INFORMS Annual Meeting.
Visit her personal website for more details: https://juntingduan.com. -
Arpit Dwivedi
Masters Student in Aeronautics and Astronautics, admitted Autumn 2024
BioArpit Dwivedi is pursuing his MS in Aeronautics and Astronautics at Stanford University. He received Bachelor of Technology degree in Mechanical Engineering with Honours and with Minor in Artificial Intelligence and Data Science from Indian Institute of Technology Bombay in 2024. His main research interests are in the robot learning, and control of autonomous systems, with an emphasis on self-driving cars, and space vehicles.
