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Dr. 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 in a minimally invasive way.
Dr. Jonathan Taylor's research focuses on selective inference in signal detection problems. These can include how to correct for model search, assessment of significance of peaks in noise and simultaneous inference under structured models of error.
Dr. C. Karen Liu is an associate professor in the Computer Science Department at Stanford University. Prior to joining Stanford, Dr. Liu was a faculty member at the School of Interactive Computing at Georgia Tech. She received her Ph.D. degree in Computer Science from the University of Washington. Dr. Liu's research interests are in computer graphics and robotics, including physics-based animation, character animation, optimal control, reinforcement learning, and computational biomechanics.
Dr. Victoria Parikh is cardiologist specializing in the care of patients with inherited cardiovascular diseases. She completed clinical cardiology fellowship at Stanford School of Medicine and her medical residency at the University of California, San Francisco. Funded by research grant from the NIH, she currently studies multiple causes of cardiomyopathy in the laboratory. She has a particular clinical and scientific interest in inherited arrhythmogenic cardiomyopathies, which are an increasingly recognized disease entity. Dr.
Dr. Madeleine Udell is an Assistant Professor of Management Science and Engineering (MS&E), with an affiliation with the Institute for Computational and Mathematical Engineering (ICME).
Dr. Amanda Kirane is a fellowship-trained, board-certified specialist in complex general surgical oncology. She is an assistant professor in the Department of Surgery, Section of Surgical Oncology, at Stanford University School of Medicine.
Her clinical practice focuses on the diagnosis and treatment of melanoma and other skin cancers. She partners closely with patients and families to provide the most effective treatment approach possible. For each patient, she tailors an evidence-based, personalized care plan that is innovative, comprehensive, and compassionate.
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.
Dr. Kawin Setsompop is an Associate Professor of Radiology and, by courtesy, of Electrical Engineering. His research focuses on the development of novel MRI acquisition methods, with the goal of creating imaging technologies that can be used to help better understand brain structure and function for applications in Healthcare and Health sciences. He received his Master’s degree in Engineering Science from Oxford University and his PhD in Electrical Engineering and Computer Science from MIT. Prior to joining Stanford, he was a postdoctoral fellow and subsequently a faculty at the A.A.
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.
Dr. James Landay is a Professor of Computer Science and the Anand Rajaraman and Venky Harinarayan Professor in the School of Engineering at Stanford University. He specializes in human-computer interaction. Landay is the co-founder and Vice-Director of the Stanford Institute for Human-centered Artificial Intelligence (HAI). Prior to joining Stanford, Landay was a Professor of Information Science at Cornell Tech in New York City for one year and a Professor of Computer Science & Engineering at the University of Washington for 10 years.
