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 Postdoc and Computational Researcher at the Cardiac Vision Lab. Jan is interested in the physics of complex systems, computing, artificial intelligence and medical imaging. He obtained a PhD in biophysics and specializes in the prediction of cardiac dynamics using deep learning. Jan was a graduate student at the University of Göttingen in Germany and pursued his PhD over the past 2 years remotely at UCSF. He graduated recently with 'Summa Cum Laude'.
Tanish Baranwal is an Undergraduate Research Assistant at the Cardiac Vision Lab. Tanish is a third-year undergraduate student 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.
Shrey Chowdhary is a PhD candidate at the University of Southern California in the Physics graduate program. He was until recently a Computational Research Specialist at the Cardiac Vision Lab and he remains affiliated with us for the foreseeable future. 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, biophysics, and computer graphics.
Joe Skovron is a Staff Research Associate at the Cardiac Vision Lab. Joe is a graduate of the University of San Francisco from the Department of Physics and Astronomy. As an athlete previously on the Dons cross country and track team, Joe has drawn to human anatomy, medical imaging, and patient care, and how those realms can be tied together with physics.
Ryan Tom is a second-year undergraduate research assistant in the Cardiac Vision Lab, studying Electrical Engineering and Computer Science at UC Berkeley. His research interests lie in the intersection of computer science, biology, and medicine, specifically in how deep learning and computer vision can be utilized for image processing tasks. Previously, Ryan was a visiting undergraduate researcher at the HHMI Janelia Research Campus in the Shaohe Wang Lab, developing cell segmentation and tracking pipelines for 4D image analysis.
Ali Momennasab is an undergraduate research assistant at the Cardiac Vision Lab. Ali studies Computer Science at the California State Polytechnic University in Pomona and is interested in machine learning and medical imaging.
Daniel Zhang is a second-year Applied Mathematics major at UC Berkeley and an undergraduate research assistant at the Cardiac Vision Lab. He has a strong interest in probability theory and enjoys exploring the intersections of mathematics with physics, computer science, and biology.
Aditi Somayajula is a fourth-year undergraduate student at UC Berkeley studying Computer Science and an undergraduate research assistant at the Cardiac Vision Lab. She is interested in the intersection of computer science and biology, specifically how computer models can be utilized to better understand biological processes.
We are looking for enthusiastic undergraduate students, Ph.D. students or Postdocs to join our lab. If you are interested in working in an exciting interdisciplinary field and would like to apply your computational skills in biological or medical research then please contact us! We are interested in people with diverse backgrounds such as physics, engineering / bioengineering, computer science, applied math, biology, physiology or medicine. Please submit your CV and a brief research statement to: [email protected]. We value a diverse and inclusive work environment.