Stanford University
Showing 161-180 of 2,678 Results
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Samuel Beuret
Postdoctoral Scholar, Radiology
BioI received the B.Sc., M.Sc., and Ph.D. degrees in Electrical Engineering from the École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, in 2016, 2019, and 2024, respectively. After working as an Ultrasound Engineer at E-Scopics, Aix-en-Provence, France, I joined the Ultrasound Imaging and Instrumentation Lab of the Department of Radiology as a Postdoctoral Scholar in 2025. My research interests include signal processing, inverse problems, and probabilistic modeling applied to pulse-echo ultrasound imaging. My current work focuses on improving pulse-echo speed-of-sound imaging and distributed aberration correction.
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Suman Bhasker Ranganath
Postdoctoral Scholar, Photon Science, SLAC
Current Research and Scholarly InterestsDevelopment of machine-learning models from high-throughput catalysis simulations.
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Abrar Bhat
Postdoctoral Scholar, Chemical Engineering
Current Research and Scholarly InterestsBy integrating single-molecule biophysics, biochemical assays, cell-biological approaches, and advanced imaging, he is investigating the precise mechanisms that elucidate the precise role of Z-disc proteins in connecting altered levels of mechanical load to aberrant signaling and gene expression in human heart cells.
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Vasiliki (Vicky) Bikia
Postdoctoral Scholar, Biomedical Data Sciences
BioDr. Vasiliki Bikia is a Postdoctoral Researcher at Stanford University, jointly affiliated with the Institute for Human-Centered Artificial Intelligence (HAI) and the Department of Biomedical Data Science, where she works under the mentorship of Prof. Roxana Daneshjou. She holds an Advanced Diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki (AUTH), Greece (2017), and a Ph.D. in Biomedical Engineering from the Swiss Federal Institute of Technology of Lausanne (EPFL), Switzerland (2021). Her doctoral work focused on addressing the clinical need for non-invasive cardiovascular monitoring by combining machine learning with physics-based numerical modeling.
Dr. Bikia's research centers on the development of large multimodal models to improve patient outcome prediction. She is also passionate about building patient-facing chatbots that help individuals better understand complex medical information, ultimately aiming to enhance communication and empower patients in their care journey. Moreover, she has contributed to the Stanford Spezi framework, designing and prototyping the Spezi Data Pipeline tool for enhanced digital health data accessibility and analysis workflows. -
Rebecca Bilden
Postdoctoral Scholar, Psychiatry
BioRebecca Bilden, PhD, MSc is a T32 Postdoctoral Fellow in Pain and Substance Use at Stanford University School of Medicine, where she conducts research under the mentorship of Drs. Keith Humphreys and Brian Bateman. Dr. Bilden is a health services researcher and decision scientist whose work focuses on improving access to treatment for substance use disorders through evidence-based policy and simulation modeling. By integrating qualitative insights into models, she analyzes system dynamics and develops strategies to improve care delivery within complex healthcare systems.
Dr. Bilden earned her PhD in Health Services Research and Policy from the University of Pittsburgh, an MSc in Applied Data Science and Statistics from the University of Exeter, and a BA in Pure and Applied Mathematics from Boston University. Her current research focuses on evaluating opioid-related policies, improving treatment retention among people with substance use disorders, and expanding access to care in carceral settings.
