Independent Labs, Institutes, and Centers (Dean of Research)
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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.