Stanford University
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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. She directs the Empowerment Neuroscience Lab in Stanford Medicine’s Department of Psychiatry & Behavioral Sciences, serves as Director of Research at Stanford’s Center for Compassion and Altruism Research and Education (CCARE), and is Scientific Lead of the Stanford Belonging Project. Her research employs portable dual-brain neuroimaging (fNIRS hyperscanning) and advanced computational modeling to elucidate the neural and inter-brain signatures of high-impact, purpose-aligned teams. She also develops and tests targeted, evidence-based interventions that measurably strengthen connection, collaboration, and performance. Partnering across Stanford Medicine, the Graduate School of Business, and Stanford Athletics, Dr. Balters translates biomarkers of human connection into simple, repeatable practices that leaders can train and track over time—turning the neuroscience of connection into a practical engine for culture change. She also leads team-innovation workshops at Stanford, creating high-trust spaces that foster authenticity, alignment, and bold, measurable execution. Beyond academia, she serves as a Human Factors Specialist at NATO, converting neuroscience insights into actionable strategies for resilient, high-performing teams.
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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.