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.

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.

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.

Darian Hadjiabadi

The oppressive Florida sun which Darian grew up under swiftly drove him to pursue undergraduate studies in the arctic tundra. At Johns Hopkins University, Darian majored in computer science and biomedical engineering, where he additionally performed research with Dr. Michael I. Miller's computational neuroanatomy group. During this period, Darian was inspired to learn more about the brain and how it functions in both health and disease. To that effect, Darian joined the functional brain imaging lab of Dr. Arvind P. Pathak at Johns Hopkins.

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