Independent Labs, Institutes, and Centers (Dean of Research)
Showing 1-10 of 17 Results
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Stephanie Balters
Instructor, Psychiatry and Behavioral Sciences - Interdisciplinary Brain Sciences
BioDr. Stephanie Balters is a neuroscientist, educator, and innovator dedicated to advancing team flourishing and excellence. As Director of the Empowerment Neuroscience Lab in the Department of Psychiatry and Behavioral Sciences, she employs advanced neuroimaging and computational methods to elucidate the neural and inter-brain signatures of high-impact, purpose-aligned teams. Her research identifies barriers to collaboration and develops targeted interventions to enhance connection, communication, and collective success. Beyond academia, Dr. Balters serves as a Human Factors Specialist at NATO, translating neuroscience into actionable strategies that help leaders cultivate resilient, high-performing teams. She also leads team innovation workshops at Stanford University, fostering authenticity, trust, and alignment to spark transformative ideas in science and business. With a B.S. and M.S. in Mechanical Engineering and a Ph.D. in Engineering Design, Dr. Balters previously held research roles at Stanford’s Center for Design Research and Computer Science Department before joining the School of Medicine.
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Vasiliki (Vicky) Bikia
Postdoctoral Scholar, Biomedical Informatics
BioDr. Vasiliki Bikia is a Fellow at the Institute for Human-Centered Artificial Intelligence and Postdoctoral Scholar at Stanford University, working with Prof. Roxana Daneshjou. She received her Advanced Diploma degree in Electrical and Computer Engineering from the Aristotle University of Thessaloniki (AUTH), Greece, in 2017, and her Ph.D. degree in Biomedical Engineering from the Swiss Federal Institute of Technology of Lausanne (EPFL), Switzerland, in 2021. Her Ph.D. research addressed the clinical need for providing non-invasive tools for cardiovascular monitoring leveraging machine learning and physics-based numerical modeling.
Her current work focuses on developing large multimodal models to enhance biomarker identification and patient outcome prediction. At Stanford, she has also contributed to the Stanford Spezi framework, designing and prototyping the Spezi Data Pipeline tool for enhanced digital health data accessibility and analysis workflows. Her research interests include health algorithms, clinical and digital biomarkers, machine learning, non-invasive monitoring, and the application of large language models for personalized healthcare, predictive analytics, and enhancing patient-clinician interactions. -
Antoine Falisse
Research Engineer, Wu Tsai Human Performance Alliance
BioDr. Falisse is a postdoctoral fellow in Bioengineering working on computational approaches to study human movement disorders. He primarily uses optimization methods, biomechanical modeling, and data from various sources (wearables, videos, medical images) to get insights into movement abnormalities and design innovative treatments and rehabilitation protocols.
Dr. Falisse received his PhD from KU Leuven (Belgium) where he worked on modeling and simulating the locomotion of children with cerebral palsy. His research was supported by the Research Foundation Flanders (FWO) through a personal fellowship. Dr. Falisse received several awards for his PhD work, including the David Winter Young Investigator Award, the Andrzej J. Komor Young Investigator Award, the VPHi Thesis Award in In Silico Medicine, and the KU Leuven Research Council Award in Biomedical Sciences. -
Dapeng Feng
Postdoctoral Scholar, Earth System Science
BioDapeng Feng is a postdoctoral fellow in the Department of Earth System Science and Stanford Institute for Human-Centered Artificial Intelligence. During his PhD he developed the differentiable hydrologic modeling framework to unify machine learning and physical models for large-scale water cycle simulations and streamflow forecasting. His current research interests focus on systematically integrating AI, physical models, and big earth observations for large-scale geoscientific modeling and knowledge discovery, particularly in characterizing the terrestrial water cycle and its interactions with plant and climate systems.
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Nicos Haralabidis
Postdoctoral Scholar, Bioengineering
BioMy research interests lie within both sports and clinical biomechanics applications. I rely upon merging conventional biomechanical in vivo measurements together with state-of-the-art musculoskeletal modeling and optimal control simulation approaches. The integrative approach I take enables me to understand how an individual may run faster, jump further, walk following surgery or intervention, and simultaneously estimate internal body dynamics noninvasively. As a Postdoctoral Research Scholar within the Wu Tsai Human Performance Alliance I aim to explore how stochastic optimal control and reinforcement learning methods can be applied to further our understanding of sporting performance.
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Noa Katz
Postdoctoral Scholar, Chemical Engineering
BioNoa Katz is a Stanford Science Fellow and an EMBO and Fulbright postdoctoral scholar at Stanford University. She implements biomolecular gene circuits to study and manipulate the central nervous system to promote therapeutic applications for neural repair and autism.
