Stanford University
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Subhaneil Lahiri
Physical Sci Res Scientist
Current Research and Scholarly InterestsOur brains store long term memories by adjusting the strengths of the synapses connecting neurons. The tendency for new memories to overwrite old ones leads to a trade-off between learning and remembering: if synapses are too plastic older memories will be wiped out easily, if they are too rigid it becomes difficult to learn new memories. I am studying theoretical models of synapses to understand how their internal structure can be used to balance these effects and maximize their memory storage.
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Ching-Yao Lai
Assistant Professor of Geophysics
BioMy group attacks fundamental questions in fluid dynamics and geophysics by integrating mathematical and machine-learned models with observational data. We use our findings to address challenges facing the world, such as advancing our scientific knowledge of ice dynamics under climate change. The length scale of the systems we are interested in varies broadly from a few microns to thousands of kilometers, because the governing physical principles are often universal across a range of length and time scales. We use mathematical models, simulations, and machine learning to study the complex interactions between fluids and elasticity and their interfacial dynamics, such as multiphase flows, flows in deformable structures, and cracks. We extend our findings to tackle emerging topics in climate science and geophysics, such as understand the missing physics that governs the flow of ice sheets in a warming climate. We welcome collaborations across disciplinary lines, from geophysics, engineering, physics, applied math to computer science, since we believe combining expertise and methodologies across fields is crucial for new discoveries.
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Elaine Lai
COLLEGE Lecturer
BioElaine Lai is a Lecturer for Civic, Liberal, and Global Education (COLLEGE) who has spent over a decade of her life working and studying in Nepal, Hong Kong, India, Taiwan, and China, where she made many lifelong friends.
Elaine is a scholar of Buddhism, trained in the languages of Tibetan, Chinese, and Sanskrit. She specializes in a tradition known as the Great Perfection in Tibet. Elaine’s recent research explores the relationship between Buddhist literature and time, specifically, how form and content interplay to cultivate more compassionate temporal relationalities. Elaine is committed to making the study of Buddhism accessible to a wider audience through technology and the arts. As a part of her dissertation, she created an intertextual heatmap to trace the citational history of a scripture throughout an important corpus of Great Perfection literature. Elaine also created a virtual reality (VR) experience to present Great Perfection history in a novel way.
At Stanford, Elaine has co-taught different courses in Religious Studies and guest lectured in Asian American Studies. In 2022, Elaine is proud to have created and taught the course “Queering Buddhism: Gender, Sexuality, and Liberatory Praxis.” This course sought to investigate the possibilities and constraints to “queering” or transforming any institution, and how the fields of queer studies and feminist studies might constructively and ethically be in conversation with Buddhist theories of liberation. In her pedagogy, Elaine emphasizes the importance of reciprocity, respect, and co-creation. Elaine is a firm believer that the process of how we engage in dialogue is as important, if not more important, than what the ultimate outcome of our conversations might be.
In Elaine’s free time, she writes screenplays (film and TV), spanning the genres of comedy, sci-fi, animation, historical drama, and more. -
Jiewen Lai
Visiting Assistant Professor, Mechanical Engineering
BioJiewen (Sam) Lai is a Visiting Assistant Professor in the Department of Mechanical Engineering and the Center for Design Research at Stanford University, where he works with the Biomimetics and Dexterous Manipulation Lab. He is also a Research Assistant Professor in the Department of Electronic Engineering at The Chinese University of Hong Kong (CUHK). He earned his PhD in Mechanical Engineering from The Hong Kong Polytechnic University in 2022 and completed his postdoctoral training at CUHK in 2023.
Sam works on soft and bioinspired robotic systems, focusing on compliant mechanisms, modeling, mechatronics, sensorimotor control, and robophysical intelligence for biomedical applications. His work has been published in various venues, including Nat. Rev. Electr. Eng., IJRR, T-MECH, RA-L, and ICRA, among others. He has served as an Associate Editor for ICRA since 2023.
