Charged with making recommendations regarding the scientific direction of Bio-X as well as reviewing fellowship applications, the 33 members of the committee come from 20 different departments.  Carla Shatz is the Chair of the Scientific Leadership Council.

Headshot portrait of Guosong Hong - Assistant Professor of Materials Science & Engineering

Guosong Hong - Assistant Professor of Materials Science & Engineering

Bio-X Affiliated Faculty, Seed Grant Committee Member, Scientific Leadership Council Member

Dr. Guosong Hong's research aims to bridge materials science and neuroscience, and blur the distinction between the living and non-living worlds by developing novel neuroengineering tools to interrogate and manipulate the brain. Specifically, the Hong lab is currently developing ultrasound, infrared, and radiofrequency-based in-vivo neural interfaces with minimal invasiveness, high spatiotemporal resolution, and cell-type specificity.

Photo of Dr. Alison Marsden, Professor of Pediatrics and Bioengineering at Stanford University.

Alison Marsden - Professor of Pediatrics (Cardiology) and of Bioengineering

Bio-X Affiliated Faculty, Clark Center Faculty, Scientific Leadership Council Member
Dr. Marsden's work focuses on the development of numerical methods for cardiovascular blood flow simulation, medical device design, application of optimization to large-scale fluid mechanics simulations, and application of engineering tools to impact patient care in cardiovascular surgery and congenital heart disease.
Phot of smiling white male faculty member, Dr. Jonathan Pritchard, Professor of Genetics and Biology at Stanford University.

Jonathan Pritchard - Bing Professor of Population Studies

Bio-X Affiliated Faculty, Clark Center Faculty, Scientific Leadership Council Member
Dr. Pritchard's lab is interested in a broad range of problems at the interface of genomics and evolutionary biology. One current focus of the lab is in understanding how genetic variation impacts gene regulation and complex traits. They also have long-term interests in using genetic data to learn about population structure, history and adaptation, especially in humans.

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