Pengli Wang
Sadly, Pengli Wang passed away in May 2026. In the words of his advisor, Michael Lin:
Interdisciplinary Graduate Fellows Alumni
Gustavo Ramon Chau Loo Kung
I received my B.Sc. in Electrical Engineering from San Martín de Porres University (2012) in Chiclayo, Peru and received my Masters degree in Digital Signal and Image Processing from Pontificia Universidad Católica del Perú (2017). Between 2015 and 2018, I worked on ultrasound imaging, optimization and signal processing. From 2017 to 2018, I was a research assistant at the Digital Signal Processing laboratory in the same institution, where I was involved with topics of image processing, optimization and inverse problems.
Erin Kunz
Erin is currently a postdoctoral scholar in the Neural Prosthetics Translational Laboratory, where she completed her PhD in electrical engineering advised by the late Dr. Krishna Shenoy and Dr. Jamie Henderson, and co-advised by Dr. Scott Linderman.
Sean Michael Sketch
Modeling proprioceptive deficits for the design of novel sensory augmentation for post-stroke movement rehabilitation
Kiah Hardcastle
A principled investigation into the heterogeneous coding properties of medial entorhinal cortex that support accurate spatial navigation
Kevin Guttenplan
Understanding why neurons die in disease
Jeffrey Bond Wang
Hailing originally from the Midwest, Jeffrey is currently an MD/PhD candidate in Stanford’s Biophysics Program. He studied Applied Mathematics as an undergraduate at Harvard University, working with Chris Rycroft on developing numerical methods for modeling biomechanical processes and large biological networks. Since then, Jeffrey’s interests have expanded towards mapping neural circuits mediating the effects of anesthetic and psychiatric drugs.
Tanya Glozman
Geometric analysis and variability mapping in human white matter brain structures
Thomas Letao Li
Understanding cellular responses induced by chronic implantation of electrodes using a novel human neural differentiation platform
Kevin Feigelis
Originally from New Jersey, Kevin hold a B.S. in Physics from Rutgers University, and is currently a PhD candidate in the Stanford University Physics department. During his quest to uncover the fundamental principles which govern our Universe, he became interested in how these same mathematical tools could be applied to elucidate the nature of human-level intelligence.