Jan Christoph is an Assistant Professor at the University of California, San Francisco, and head of the Cardiac Vision Lab. He is a faculty member of the Cardiovascular Research Institute, with appointments in the Division of Cardiology, School of Medicine, and the Department of Bioengineering and Therapeutic Sciences. His research interests include cardiac electrophysiology and biomechanics, cardiac arrhythmia mechanisms, the physics of complex biological systems, artificial intelligence, numerical modeling and imaging. Previously, he worked as a researcher in Germany, where he developed novel optical and ultrasound-based imaging techniques for the visualization of life-threatening ventricular arrhythmias. Read more ...

Jan Lebert is a PhD candidate and Associate Specialist at the Cardiac Vision Lab. Jan is interested in the physics of complex systems, computing, artificial intelligence and medical imaging. In his PhD, he specializes in the prediction of cardiac dynamics using deep learning. Jan is enrolled as a PhD student at the University of Göttingen and is a member of the International Max Planck Research School for the Physics of Biological and Complex Systems in Germany. He pursues his PhD remotely while at UCSF.

Shrey Chowdhary is a Computational Research Specialist at the Cardiac Vision Lab. Shrey obtained a BSc in Computer Science and Physics at the University of Illinois and he is generally interested in computational physics, high-performance and distributed computing and computer graphics. In our lab he is involved in numerical method development and performing computer simulations of the heart. Before joining our lab, he worked as a software engineer in San Francisco.

Daniel Deng is an undergraduate research assistant at the Cardiac Vision Lab. Daniel is currently a senior at UC Berkeley studying Computer Science and Molecular and Cell Biology. His research interests include mathematical biology, numerical modeling, medical imaging, and machine learning, and he intends to pursue a career in medical imaging research. In our lab, he studies cardiac tissue dynamics in computer simulations and implements deep learning models.

Steffi Tan is an undergraduate research assistant at the Cardiac Vision Lab. Steffi studies Computer Science and Cognitive Science at UC Berkeley. She is interested in using machine learning, medical imaging, and natural language processing.

Jimmy Shi is an undergraduate research assistant at the Cardiac Vision Lab. Jimmy studies Physics & Data Science at UC Berkeley. He is interested in machine learning, computer vision, and solid state physics.

Tanish Baranwal is an undergraduate research assistant at the Cardiac Vision Lab. Tanish is currently a freshman at UC Berkeley studying Electrical Engineering and Computer Science, and his research interests include deep learning, computer vision, computational biology, and neuroscience. Previously, he worked as a student researcher at the Louis Lab, University of California, Santa Barbara in evolutionary neuroscience and is now excited to study 3D spiral waves and implementing deep learning models to push state of the art capabilities.

Esha Karlekar is an undergraduate research assistant at the Cardiac Vision Lab. Esha is currently a freshman at UC Berkeley majoring in Electrical Engineering and Computer Science with a minor in Public Policy. Her research interests include machine learning, computational biology, and computer vision.

Shai Dickman is an undergraduate research assistant at the Cardiac Vision Lab. Shai is currently a first-year undergraduate student at UC Berkeley studying Electrical Engineering & Computer Science with a minor in Mathematics. His research interests include 3D imaging, computational mathematics, and procedural animation.

Namita Ravi is a Sarnoff Research Fellow at the Cardiac Vision Lab. Namita received her B.S. in Physics from the California Institute of Technology and is currently a fifth-year medical student at Yale School of Medicine. Namita is interested in clinical cardiology, the electrical mechanisms driving arrhythmias and has previously gained experience in the Arrhythmia Center at Stanford University developing algorithms for the analysis of electrocardiograms. She is excited to use new mapping techniques and to study molecular mechanisms underlying cardiac disease.