Stanford University
Showing 1,951-2,000 of 2,733 Results
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Teresa Salomone
Postdoctoral Scholar, Mechanical Engineering
BioTeresa Salomone is a postdoctoral researcher in the Mechanical Engineering Department at Stanford. She earned her PhD through a joint collaboration between Queen’s University in Canada and the University of Campania in Italy. Her research focuses on computational studies of turbulent flows using large eddy simulation and wall modeled large eddy simulation with high performance computing, with an emphasis on roughness, separated flows, and complex external aerodynamics.
More recently, her work has expanded to include simulations of marine species in collaboration with Hopkins Marine Station, where she studies the hydrodynamics of cetaceans to estimate drag, gliding energetics, and cost of locomotion across different species and swimming conditions. She is also exploring how computational fluid dynamics can be applied to questions in human physiology, particularly in modeling cerebrospinal fluid dynamics.
She is also involved in facilitating workshops on breathwork, reflecting a broader interest in the role of respiration and its interaction with physiological systems. -
Maria del Mar Sanchez Martin
Postdoctoral Scholar, Neurosurgery
BioI am a postdoctoral researcher in the Neurosurgery Department at Stanford University, under the supervision of Dr. Llorente. My research interests lie in novel stem cell therapies for spinal cord injury, focusing not only on therapeutic applications with translational perspectives, but also on understanding the underlying mechanisms that promote recovery
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Lapo Santarlasci
Postdoctoral Scholar, Economics
BioI am a postdoctoral researcher at Stanford University’s Human-Centered Artificial Intelligence (HAI) institute, working on the AI Index team. With a background in Finance and FinTech, I hold a PhD in Systems Science from IMT Lucca. My doctoral research focused on harnessing artificial intelligence - particularly cutting-edge NLP methods - to build tools for climate-risk assessment and to explore how AI diffuses through and shapes society. Outside of my research, I am a sailor and a volunteer Red Cross ambulance operator.
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Nitish Ranjan Sarker
Postdoctoral Scholar, Civil and Environmental Engineering
BioNitish Ranjan Sarker is a Postdoctoral Scholar at Stanford University, where he contributes to the design, execution, and evaluation of an Industrial, Agricultural, and Water FlexHub Demonstration Pilot Project. His current research focuses on developing data-driven decision-support tools for sustainable water and energy systems, integrating experimental and pilot-scale data with technoeconomic analysis (TEA) to guide system design, deployment strategies, and policy recommendations.
Nitish earned his Ph.D. in Mechanical and Industrial Engineering from the University of Toronto, where his work combined laboratory-to-pilot experimentation, systems modeling, and field validation to advance resilient and affordable water technologies. Prior to that, he completed his M.Sc. in Mechanical Engineering at the University of Alberta and his B.Sc. in Mechanical Engineering at the Bangladesh University of Engineering and Technology (BUET). His research portfolio spans off-grid solar desalination, oil-water separation and spill response technologies, and distributed water quality monitoring tools for decentralized systems. Beyond research, Nitish has engaged in interdisciplinary training and global capacity-building initiatives in Canada, Mexico, Kenya, Bangladesh, India, and France, advancing the water‑energy‑health nexus and sustainable technology adoption from lab to field. He also co-founded FRODO, a venture translating foam-based oil-water separation research into deployable spill response and produced water treatment solutions, bridging lab innovation and early commercialization. -
Rachel Schuck
Postdoctoral Scholar, Psychiatry
Current Research and Scholarly InterestsMy research interests center on improving support services for autistic individuals—particularly by incorporating feedback from the autistic/autism community—and increasing access to high quality supports. I am also interested in assessing attitudes toward neurodiversity and promoting understanding of neurodiversity amongst the general population in the hopes of improving quality of life for neurodivergent people and their families.
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Narayan Schutz
Postdoctoral Scholar, Psychiatry
Current Research and Scholarly InterestsI work on using digital health technologies to detect and monitor aging relevant health indicators and outcomes using cutting-edge machine and deep learning approaches, with the goal to make our healthcare system more personalised and proactive.
Current research topics include remote gait and mobility assessments, learning health representations from large-scale smartphone data, and using novel ambient intelligence approaches to foster independent living in older adults. -
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.
