School of Medicine
Showing 1-17 of 17 Results
-
Mojtaba Sedigh Fazli
Postdoctoral Scholar, Immunology and Rheumatology
BioDr. Mojtaba Fazli is a leading scientist specializing in AI/ML, computer vision, and biomedical research. He is currently a Postdoctoral Research fellow Scientist at Stanford University and a Senior Research Fellow at the Harvard Ophthalmology Artificial Intelligence Lab, Harvard University, where he previously completed a postdoctoral fellowship.
Dr. Fazli's research bridges cutting-edge artificial intelligence with groundbreaking applications in multi-scale biomedical imaging, disease modeling, and drug discovery. His expertise encompasses advanced areas of AI/ML, including computer vision for 2D/3D medical image analysis, bioinformatics, and object tracking in both 2D and 3D environments. He has played a key role in developing state-of-the-art algorithms to enhance diagnostic precision and therapeutic outcomes within the biotechnology and healthcare sectors.
With a strong foundation in both academia and industry, Dr. Fazli previously served as a Senior Open Innovation Scholar at the Novartis Institute for Biomedical Research. There, he applied his expertise in strategic planning, programming, and simulation to tackle complex biomedical challenges.
Dr. Fazli holds a Ph.D. in Computer Science, with a minor in Mathematics, from the United States, as well as a Doctorate in Business Administration from France. His academic journey also includes master’s degrees in Economics and Management, as well as Artificial Intelligence and Robotics. His interdisciplinary approach blends AI-driven innovation with practical, impactful solutions in healthcare.
At Stanford, Dr. Fazli leads research initiatives focused on integrating multimodal data in rheumatology, advancing ultrasound imaging research in Rheumatoid Arthritis, and developing AI methodologies for clinical applications. His current work also involves leveraging Generative AI and Large Language Models (LLMs) to drive innovation in medical data analysis and clinical decision support. -
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. -
Gulshan Singh
Postdoctoral Scholar, Gastroenterology
Current Research and Scholarly InterestsMy current research interest is to understand the host-microbial pathways in intestinal inflammation. I am working to explore cellular heterogeneity at single immune cell level in systemic and local regions of the intestine that are associated with different Inflammatory bowel disease conditions.
-
Takeshi Sugio
Postdoctoral Scholar, Oncology
BioI am a physician-scientist and hematologist focused on clinical translation of T-cell biology. I received my MD from Kyushu University, and subsequently completed Residency Training at Toranomon Hospital, the largest transplant center in Japan. I continued my Hematology training at Kyushu University, where I qualified as a Board-certified specialist (2017) and supervisory hematologist (2021) by the Japanese Society of Hematology. For my PhD (2014-19), I studied expression profiles and histologic features of TCLs. I discovered distinct TCL clinical groups identified by infiltrating immune cell patterns in the microenvironment. Based on my dissertation work (Sugio, et al 2018 Blood Advances), I planned and conducted a Phase II trial of PD1 inhibition for relapsed/refractory TCL (UMIN000034499). I joined the Alizadeh lab at Stanford in 2021, where I am developing tools to analyze immune status using liquid biopsies.