Stanford University
Showing 941-960 of 3,299 Results
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Mojtaba Sedigh Fazli
Visiting Instructor/Lecturer, Cardiovascular Institute
Postdoctoral Scholar, Cardiovascular InstituteBioDr. Mojtaba Fazli is a leading artificial intelligence scientist and Lecturer at the Stanford Cardiovascular Institute and Stanford School of Medicine. His research connects machine learning, biomedical imaging, and cardiovascular physiology to address a central challenge in clinical AI: translating complex biomedical data into interpretable insights that can support better clinical decisions.
Working under the mentorship of François Haddad and Suzanne Tamang, Dr. Fazli develops AI approaches that integrate electrocardiography, echocardiography, invasive hemodynamic measurements, and clinical data. His current research spans pulmonary hypertension, right-heart function, and the estimation of cardiovascular pressures and function from noninvasive measurements. A defining focus of his work is explainability—understanding not only what a model predicts, but also how its predictions relate to clinically meaningful physiological patterns. Through this work, he investigates how AI can complement established cardiovascular assessment and support more informative, accessible approaches to disease evaluation.
Before his current appointment, Dr. Fazli held successive postdoctoral positions in Stanford’s Division of Immunology and Rheumatology and at the Cardiovascular Institute. Under the supervision of Suzanne Tamang and Rob Fairchild, his rheumatology research focused on AI-enabled ultrasound analysis, rheumatoid arthritis assessment, and the integration of multimodal clinical data. This experience helped shape his broader research approach: connecting imaging, quantitative measurements, and clinical context to address questions that matter in patient care.
His background spans academic medicine and pharmaceutical research, including postdoctoral training and senior research experience at the Harvard Ophthalmology Artificial Intelligence Lab and Harvard AI and Robotics Lab. He also served as a Senior Open Innovation Scholar and Gates Fundation Fellow at the Novartis Institutes for BioMedical Research, applying computational methods to biomedical research and drug discovery. Across these settings, his work has encompassed computer vision, 2D and 3D biomedical image analysis, computational disease modeling, and AI-driven analysis of complex biological data.
Dr. Fazli’s broader research interests include multimodal learning, computer vision, agentic AI, generative AI, and large language models for medical data analysis, integration of clinical knowledge, and clinical decision support. Across these areas, he emphasizes rigorous evaluation, transparent modeling, and close collaboration between computational scientists and clinicians.
He holds a PhD in Computer Science, with a minor in Mathematics, from the University of Georgia, a Doctorate in Business Administration, and master’s degrees in Economics and Management and in Artificial Intelligence and Robotics. This interdisciplinary foundation informs his approach to developing AI that is technically rigorous, clinically grounded, and responsive to the practical challenges of healthcare. -
Arena See
Synthetic Microbiome Engineer, Microbiome Therapies Initiative (MITI)
Current Role at StanfordSynthetic Microbiome Engineer @ MITI
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Laura Seeholzer
Assistant Professor of Neurobiology
BioMy laboratory studies how we detect, perceive, and respond to sensations from within our own bodies. We focus on understanding how the airways sense potentially harmful substances and trigger protective reflexes like coughing and sneezing. Using techniques ranging from molecular and biophysical studies of single cells to behavioral studies, we investigate how specialized epithelial cells lining the airways detect different types of stimuli and communicate this information to the nervous system. By studying epithelial cells from animal models and humans, we aim to understand how their dysfunction contributes to conditions like chronic cough and aspiration. We also examine how the brain processes these internal signals to create the conscious "urge" to cough or sneeze, and how we learn to suppress these reflexes in appropriate social contexts. This research advances our understanding of the fundamental mechanisms linking bodily sensations to conscious awareness, behavioral control, and disease.
I did my PhD at Rockefeller University with Dr. Vanessa Ruta and post-doctoral studies at UCSF with Dr. David Julius. -
Rebecca Seekamp, MD
Clinical Assistant Professor, Medicine - Primary Care and Population Health
Current Research and Scholarly InterestsInterested in complementary/alternative medicine, international health, international adoption medicine and providing full spectrum health care.
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Luise Avelina Seeker
Senior Basic Life Research Scientist, Bioengineering
BioLuise Seeker is a trained vet from Berlin, Germany with a strong interest in researching ageing at a cellular level. She obtained a PhD in Genomics from the University of Edinburgh in 2018 for studying telomeres, their heritability and their power to predict lifespan (supervised by Profs. Georgios Banos, Dan Nussey, Mike Coffey and Bruce Whitelaw). She joined Prof. Anna Williams' lab at the University of Edinburgh as a postdoc and investigated transcriptional changes with ageing in the human central nervous system.
