PERSONNEL
LAB PERSONNEL | COLLABORATORS | LAB ALUMNI
Sanjiv Narayan, MD, PhD, FRCP
DIRECTOR
Dr. Narayan is Professor of Medicine at Stanford University, a practicing cardiologist and translational scientist with graduate training in software engineering, data science and neurophysiology.
Twitter: @S_NarayanMD
Tina Baykaner, MD
ASSISTANT PROFESSOR
Dr Baykaner is Faculty in Electrophysiology at Stanford University. She obtained her medical degree from Hacettepe Universitesi, Ankara, Turkey. During medical school, she spent 6 months in genetics and endocrine labs at the NIH/NICHD, followed by clinical cardiology rotations at the Cleveland Clinic and Baylor University which influenced her to pursue postgraduate training in the United States. After obtaining her MD, she spent a year at the Massachusetts General Hospital in Boston, MA as a postdoctoral fellow researching determinants of ischemic stroke evolution. She then started her clinical training in Internal Medicine at AECOM/Jacobi Medical Center in New York and continued her training at University of California San Diego which included residency Internal Medicine, fellowships in Advanced Heart Failure and Clinical Cardiology. During her clinical training, she obtained an online MPH degree from University of Massachusetts to further her knowledge in statistics and outcomes research. Starting in early years of her clinical residency training, she started working with Sanjiv Narayan on mechanisms of atrial fibrillation. This research has yielded her multiple recognitions including University of California San Diego Schulman Early Career Research Award in Cardiology, American Heart Association Post-Doctoral Research Fellowship Grant, Heart Rhythm Society Research Fellowship Scholarship in Honor of Mark Josephson and Hein Wellens, Travel Scholarship from American College of Cardiology as well as multiple featured poster and oral presentations in national and international meetings. She will continues her ongoing research projects in AF mechanisms with Dr Sanjiv Narayan while pursuing a 2 year clinical electrophysiology training at Stanford University. When Tina is not in the lab, she can be found playing tennis, away for skiing, enjoying a beach run or discovering new restaurants.
Twitter: @TinaBaykaner
A.J. Rogers, MD, MBA
INSTRUCTOR IN MEDICINE
Dr. A.J. Rogers is faculty in at Stanford University. He has over 10 years of medical device experience ranging from basic and translational research to device development and entrepreneurship. His undergraduate coursework in Biomedical Engineering at Duke University focused on neurobiology, signal processing, and computer modeling while his research investigated piezoelectric arrays for intracardiac ultrasound and computer vision of 3D ultrasound images for automated surgical robot tasks (Stephen Smith Laboratory). He earned his medical degree from the University of North Carolina and graduated in the inaugural class for the combined MBA degree program from the Kenan-Flagler Business School at UNC (focus in Healthcare Entrepreneurship). While working toward these degrees, A.J. participated in epidemiologic and translational research in the academic setting and worked as a clinical engineer for a start-up medical device company in the field of heart failure. He completed training in Internal Medicine and Cardiovascular Medicine at Stanford University. He joined Dr. Sanjiv Narayan’s Computational Arrhythmia Research Laboratory to explore mechanisms of cardiac fibrillation using techniques of signal processing, machine learning, and in silico modeling. Outside of his research and clinical pursuits, A.J. enjoys athletics of all kinds (especially sand volleyball), travelling, and live music events.
Twitter: @ajrogers_md
Prash Ganesan, PhD
RESEARCH SCIENTIST
Prash received his MS and PhD degrees in Electrical Engineering from Rochester Institute of Technology in 2015 and from Florida Atlantic University in 2019, respectively. He was previously a research fellow at the US National Institutes of Health, and has experience performing R&D in the medical device industry. His research interests are in studying atrial fibrillation substrate mechanisms using novel mapping approaches of signal processing and machine learning.
Twitter: @prash030
Kathleen Mills, B.A.
RESEARCH MANAGER
Kathleen Mills is Research Manager for CARL. With over 25 years of clinical research experience, most of which have been with Dr. Narayan, she serves as an integral part of the program as the point-person for clinical research operations, including regulatory compliance, fiscal oversight, quality management and personnel issues. Kathleen has helped to secure and manage continuous funding of the program from the NIH (2001-present), ACC, AHA, Doris Duke Charitable Foundation and Laurie McGrath Foundation. Kathleen enjoys spending time outdoors, hiking and biking with her family.
Miguel Rodrigo, PhD
POST-DOCTORAL RESEARCH FELLOW
Miguel Rodrigo holds a PhD in Health Technologies from the Polytechnic University of Valencia (UPV), a Master’s Degree in Biomedical Engineering (UPV and Universitat de Valencia) and a Degree on Telecommunication Engineering from the UPV. Dr. Rodrigo’s research interests are focused on improving the knowledge associated with the mechanisms of initiation and maintenance of cardiac arrhythmias, as well as on the development of instrumentation and signal and image processing techniques for diagnosis and treatment of these heart diseases. In this sense, the work of Dr. Rodrigo focuses on the analysis of both endocardial and noninvasive signals in order to identify and locate atrial regions that are responsible of atrial fibrillation. Dr. Rodrigo is currently working on the improvement of non-invasive mapping methods for atrial fibrillation, such as Body Surface Potential Mapping or Electrocardiographic Imaging. The research work of Dr. Rodrigo arises from the collaboration of several international teams: the Cardiovascular Department – Stanford University (USA), the Hospital Gregorio Marañón (Spain), the Institute ITACA – Universitat Politècnica de València (Spain), the Department of Computer Science – University of Oxford (UK) and the Center for Arrhythmia Research – University of Michigan (USA). Dr. Rodrigo has received a HealthStart award for innovative health projects, as well as being twice finalist for the Young Investigator Award at Computing in Cardiology conference.
Twitter: @MRodrigo_cardio
Brototo (Brodie) Deb, MD
POST-DOCTORAL RESEARCH FELLOW
Brodie obtained his medical degree from JIPMER, India during which he was awarded numerous accolades He was motivated to pursue further medical and research training in the US after his clinical rotation at the Cornell University, NYC. Following medical school he was a postdoctoral fellow at Mayo Clinic, Rochester and then joined Stanford in Dr. Narayan’s lab. He is interested in using machine-learning-based analytical approaches to gain novel, interpretable insights into the pathophysiological mechanisms of arrhythmias and translate that into clinical practice. In his leisure, he likes writing and reading poems, listening and (trying to) sing Indian classical music, apart from being an avid runner.
Twitter: @BrototoD
Ruibin Feng, PhD
RESEARCH SCIENTIST
Ruibin received his PhD from Hong-Kong University followed by post-doctoral fellowship at Arizona State University. At the lab, his research interests lie at the intersection of machine learning, deep learning, medical imaging and bioinformatics, concentrating on computer-aided diagnosis and analysis for atrial fibrillation.
Samuel Ruiperez-Campillo, MSc, MEng
RESEARCH ASSOCIATE
Samuel Ruiperez-Campillo graduated form a BSc in Biomedical Engineering at Universidad Carlos III de Madrid and Georgia Institute of Technology with honours. His MSc focused on Bioelectronics and Machine Learning techniques for bio-signal processing at the Swiss Feredal Institute of Technology (ETH Zurich) as an Excellence Fellow of ‘Rafael del Pino’ Foundation, and his MEng in Computational Bioengineering at UC Berkeley as an Excellence Fellow of ‘La Caixa’ Foundation and an Excellence Scholarship holder from UC Berkeley’s Fung Institute. Samuel has worked at the Cellular and Molecular Biomechanics Laboratory at the Wallace H. Coulter Department of BME at Georgia Tech with Prof. C. Zhu (18’-19’); at the Bio-Fluid Mechanics Group at UC3M in Madrid with Prof. J. Rodriguez (19’-20’); at the Bio-ITACA research group at UPV Valencia with Prof. J. Millet (19’-); at the Neurotechnology Group at the Institute of Neuroinformatics at ETH Zurich with Prof. F. Yanik (20’-21’), among others. His main research focus is related to cardiac and brain signal processing using algorithms of ML and DL.