Stanford University
Showing 121-130 of 1,659 Results
-
Vasyl Rakivnenko
AI Technical Lead, IT & Legal Design Lab, Information Systems
BioVasyl Rakivnenko is the AI Technical Lead at Stanford Law School’s Legal Design Lab, where he develops and applies AI systems to expand access to justice. A technology entrepreneur and applied AI researcher, he has led AI initiatives across startups, venture firms, and public companies.
He collaborates with Stanford faculty on research at the intersection of AI, economics, and decision-making, and has presented his work at Stanford GSB, UNLV, and more.
Vasyl holds a Bachelor’s in Business Administration from the University of Mondragon, an MBA from Kozminski University, and is a graduate of the Stanford Executive Program. -
Lindsey Ralls
Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
BioLindsey Ralls, MD, is a Clinical Assistant Professor in the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University. She is originally from California, and after undergraduate training at Stanford University she completed her medical degree and internship at Baylor College of Medicine in Houston, TX. She then returned to the Bay Area and completed her Anesthesia residency (2008) and Obstetric Anesthesia fellowship (2009) at Stanford University.
-
Nilam Ram
Professor of Communication and of Psychology
BioNilam Ram studies the dynamic interplay of psychological and media processes and how they change from moment-to-moment and across the life span.
Nilam’s research grows out of a history of studying change. After completing his undergraduate study of economics, he worked as a currency trader, frantically tracking and trying to predict the movement of world markets as they jerked up, down and sideways. Later, he moved on to the study of human movement, kinesiology, and eventually psychological processes - with a specialization in longitudinal research methodology. Generally, Nilam studies how short-term changes (e.g., processes such as learning, information processing, emotion regulation, etc.) develop across the life span, and how longitudinal study designs contribute to generation of new knowledge. Current projects include examinations of age-related change in children’s self- and emotion-regulation; patterns in minute-to-minute and day-to-day progression of adolescents’ and adults’ emotions; and change in contextual influences on well-being during old age. He is developing a variety of study paradigms that use recent developments in data science and the intensive data streams arriving from social media, mobile sensors, and smartphones to study change at multiple time scales.
