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 Dr. Hannes Vogel, Professor of Pathology and Genetics at Stanford University.

Hannes Vogel - Professor of Pathology and of Pediatrics and (by courtesy) of Neurosurgery and Comparative Medicine

Bio-X Affiliated Faculty

Dr. Hannes Vogel's chief research interests are in mitochondrial diseases, muscle and nerve diseases, brain tumors, and animal models of human disease. Dr. Vogel is also the Director of the Stanford Research Core Histology Laboratory, which is of central importance to many Stanford research endeavors and to medical scientist development.

Photo of Dr. Peter Tass, Professor of Neurosurgery at Stanford University.

Peter Tass - Professor of Neurosurgery

Bio-X Affiliated Faculty

Dr. Peter Tass investigates and develops neuromodulation techniques for understanding and treating neurologic conditions such as Parkinson’s disease, epilepsy, dysfunction following stroke and tinnitus. He creates invasive and non-invasive therapeutic procedures by means of comprehensive computational neuroscience studies and advanced data analysis techniques. The computational neuroscience studies guide experiments that use clinical electrophysiology measures, such as high density EEG recordings and MRI imaging, and various outcome measures.

Photo of Dr. Gregory Valiant, Associate Professor of Computer Science at Stanford University.

Gregory Valiant - Associate Professor of Computer Science

Bio-X Affiliated Faculty

Dr. Gregory Valiant's research explores how to extract as much information as possible from data, with a focus on understanding the interplay between the accuracy of the extracted information and various factors such as the amount of available data, the quality/reliability of the data, the amount of memory that is available to process the data, etc. One of the main themes in Dr.

Photo of Dr. Sherry Wren, Professor of Surgery at Stanford University.

Sherry Wren - Professor of Surgery (General Surgery)

Bio-X Affiliated Faculty

Dr. Sherry Wren is a board certified general surgeon who specializes in the surgical treatment of gastrointestinal cancer: including stomach, pancreas, intestinal, and colon and rectal cancers. She completed fellowship training in advanced hepatobiliary surgery and performs open, laparoscopic, and robotic approaches to these cancers.

Dr. Wren is also very involved in humanitarian surgery and global surgery. She works and manages educational partnerships in Sub Saharan Africa.

Photo of Dr. Christopher Potts, Professor of Linguistics at Stanford University.

Christopher Potts - Director of the Center for the Study of Language & Information (CSLI) and Professor of Linguistics and (by courtesy) of Computer Science

Bio-X Affiliated Faculty

Dr. Christopher Potts's group uses computational methods to explore how emotion is expressed in language and how linguistic production and interpretation are influenced by the context of utterance. This research combines methods from linguistics, cognitive psychology, and computer science, in the service of both scientific discovery and technology development. In many cases, they have taken theoretical models of language use and applied techniques from machine learning to scale those models for use on massive data sets and in complex environments.

Photo of Dr. Christine Jacobs-Wagner, Professor of Biology at Stanford University.

Christine Jacobs-Wagner - Dennis Cunningham Professor and Professor of Biology

Bio-X Affiliated Faculty

Cellular replication is a defining feature of life. But how do cells reproduce themselves? Dr. Christine Jacobs-Wagner's laboratory addresses this fundamental question by probing the governing principles and the spatiotemporal mechanisms that underlie cellular replication, with an emphasis of cell morphogenesis, cell growth, chromosome dynamics and cell cycle regulation. They use bacteria as model systems for two main reasons. First, bacteria lack the complex control systems of eukaryotes (e.g., cyclin/Cdk machinery); yet their multiplication process is remarkably efficient and faithful.

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