Over 1,300 faculty are affiliated with Stanford Bio-X and are eligible to apply for our grants and be notified about fundraising opportunities, collaborations with industries, events, courses and available facilities and instruments. Learn how to become an affiliate!

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Photo of a smiling male Asian faculty member with short black hair and glasses, Dr. Michael Lim, Professor of Neurosurgery at Stanford University.

Michael Lim - Professor of Neurosurgery and (by courtesy) of Radiation Oncology (Radiation Therapy), of Medicine (Oncology), of Otolaryngology (Head & Neck Surgery), and of Neurology

Bio-X Affiliated Faculty
Dr. Michael Lim is the Chair of the Department of Neurosurgery and a board-certified neurosurgeon specializing in brain tumors and trigeminal neuralgia. Dr. Lim’s clinical interests include the treatment of benign and malignant brain tumors, with special interest in gliomas, meningiomas, metastatic tumors, and skull base tumors. Dr. Lim’s research interests focus on harnessing the immune system to fight cancer.
Photo of a smiling female faculty member with long blonde hair, Dr. Claudia Beatriz Padula, Assistant Professor of Psychiatry & Behavioral Sciences at Stanford University.

Claudia Beatriz Padula - Assistant Professor of Psychiatry & Behavioral Sciences (Public Mental Health & Population Sciences)

Bio-X Affiliated Faculty
The primary goal of the Padula BRAVE lab's research is to define emotion and reward circuits in men and women Veterans with AUD using well-established paradigms as subjects undergo functional magnetic resonance imaging, and determine the utility of emotion and reward circuits in predicting abstinence versus relapse, along with risk of relapse.
Photo of a smiling Black male faculty member, Dr. Sanmi Koyejo, Assistant Professor of Computer Science at Stanford University.

Sanmi Koyejo - Assistant Professor of Computer Science

Bio-X Affiliated Faculty

Sanmi Koyejo an Assistant Professor in the Department of Computer Science at Stanford University. Koyejo's research interests are in developing the principles and practice of trustworthy machine learning. Additionally, Koyejo focuses on applications to neuroscience and healthcare. Koyejo has been the recipient of several awards, including a best paper award from the conference on uncertainty in artificial intelligence (UAI), a Skip Ellis Early Career Award, and a Sloan Fellowship.

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