Stanford University
Showing 24,371-24,380 of 34,412 Results
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Angel Rala
Contingent ADM 1, Medicine - Primary Care and Population Health
Current Role at StanfordProgram Manager Assistant at Stanford's Clinical Summer Internship
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Lindsey Ralls
Clinical Associate Professor, Anesthesiology, Perioperative and Pain Medicine
BioLindsey Ralls, MD, is a Clinical Associate 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.
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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.
