School of Medicine
Showing 11-16 of 16 Results
-
Disha Sharma
Postdoctoral Scholar, Cardiovascular Medicine
BioI am a computational biologist with more than 12 years of extensive experience aiming to pursue career in developing translational medicine- and healthcare-oriented solutions. I have Ph.D. in bioinformatics with technical expertise for next-generation sequencing assays, genome-wide association studies, bulk and single-cell multi-omics analysis, R, python, shell Scripting, cloud computing, Data structure and algorithms, as well as machine and deep learning algorithms. I have solid background in genomics, transcriptomics, epigenomics and metagenomics. I have worked with both complex and rare genetic disorders performing data analysis, data interpretation, data curation with clinical data and databases.
I am presently a postdoctoral fellow at Stanford University for 4 years now where my main focus is to understand the genetic risks of cardiometabolic diseases using GWAS, integrating modalities including single-cell multiomics, CRISPR perturbation datasets. I am working on building machine learning models and use statistical genetics tools using large biobanks including UKBiobank, AllofUS and MVP. -
Rahul P Sharma, MBBS, FRACP
Clinical Associate Professor, Medicine - Cardiovascular Medicine
Current Research and Scholarly InterestsTranscatheter valve therapies, CT valve imaging, AI and device innovation
-
Joshua M. Spin
Clinical Associate Professor, Medicine - Cardiovascular Medicine
Current Research and Scholarly InterestsDr. Spin began his research career studying the structural biology of low density lipoprotein, and has been augmenting his skills with intensive training in molecular biology techniques, particularly those involving high-throughput genetic expression profiling. He is especially interested in vascular smooth muscle cells, and the role of smooth muscle differentiation and phenotypic switching in development and vascular disease. His latest work has focused on the biology of aortic aneurysms.
-
Juwono L. Sutedjo, MD, MBA
Clinical Assistant Professor, Medicine - Cardiovascular Medicine
BioDr. Sutedjo is a board-certified, fellowship-trained cardiologist. She is a faculty in the Department of Medicine, Division of Cardiovascular Medicine at Stanford University School of Medicine.
Dr. Sutedjo specializes in complex cardiovascular conditions, emphasizing multimodality cardiovascular imaging and disease prevention. She integrates leading-edge diagnostics with evidence-based strategies to provide comprehensive, patient-centered care. She has led multidisciplinary clinics, telehealth programs, and ambulatory operations to enhance accessibility and efficiency.
Dr. Sutedjo holds board certifications in cardiovascular CT, nuclear cardiology, vascular interpretation, echocardiography, and cardiovascular disease. Dr. Sutedjo has a visionary approach to the future of cardiovascular medicine, particularly in the context of the rapidly evolving digital era. With a clear understanding of the need for innovative business models in healthcare, she pursued an MBA from the Wharton School of the University of Pennsylvania to complement her medical expertise. As a physician executive and clinical researcher, she has deep expertise in clinical operations, health care delivery, and finance. Her diverse background spans private practice, integrated healthcare systems, and managed care settings, providing her with a comprehensive perspective on the healthcare landscape. Driven by a commitment to enhancing patient outcomes, Dr. Sutedjo is deeply invested in leveraging digital health innovations and artificial intelligence to advance the field of cardiovascular care.
Dr. Sutedjo’s research explores AI, machine learning, and digital health applications in cardiovascular risk prediction, diagnosis, and treatment. She aims to improve efficiency, reduce disparities, and enhance precision in clinical decision-making.
Dr. Sutedjo has published her work in Circulation, The American Journal of Medicine, and 21st Century Cardiology. She has also presented at the American Heart Association Scientific Sessions and other national and international conferences, engaging with industry leaders and private sector stakeholders on the role of AI in health care. She has co-founded several health technology startups and has worked as a consultant for leading technology companies and private sector organizations. Additionally, she played a key role in the IPO of a tech startup on the Toronto Stock Exchange.