Stanford University
Showing 311-320 of 563 Results
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Cassondra Eng
Adjunct Lecturer, Psychiatry and Behavioral Sciences - Interdisciplinary Brain Sciences
BioDr. Cassondra (Cassie) Eng is an NIH-funded T32 Postdoctoral Scholar in Sports Neuroscience at Stanford University’s Center for Interdisciplinary Brain Sciences Research (CIBSR). Her research focuses on optimizing immersive interventions that promote neurological, cognitive, and physical health outcomes. Dr. Eng investigates attentional processes in technologically enhanced contexts, with an emphasis on the brain-behavior mechanisms that drive differential outcomes. She specializes in using mobile functional near-infrared spectroscopy (fNIRS), a modern neuroimaging technique that is noninvasive, wearable, and allows for full mobility in naturalistic settings—making it ideal for studying human behavior in ecologically relevant settings.
Dr. Eng programs exercise-based interventions using game engines to enhance participant engagement and data automation, supplementing neurocognitive assessments with physiological measures across populations from childhood to adulthood. Her work incorporates task-based and clinical norm-referenced assessments of cognition, quantitative and qualitative assessments of learning in VR/XR contexts, eye tracking, EEG, cardiovascular measures related to performance and stress, and data analysis techniques using mixed-effects modeling, multivariate analysis, and longitudinal data analysis.
Dr. Eng earned her Ph.D. in Cognitive Neuroscience and Developmental Psychology from Carnegie Mellon University, where she also received a Program for Interdisciplinary Education Research (PIER) Certification through the Institute of Education Sciences. Her work specializes in educational neuroscience, an interdisciplinary field bridging cognitive science, psychology, educational technology, human-computer interaction, computer science, and related disciplines to identify optimal learning contexts that support brain development and cognitive skills essential for overall well-being and health. -
Lawrence Eng
Professor (Research) of Pathology, Emeritus
Current Research and Scholarly InterestsAstrocytes make up a substantial proportion of the central nervous system (CNS) and participate in a variety of important physiologic and pathologic processes. They are characterized by vigorous response to diverse neurologic insults.
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Claudia Engel
Academic Technology Specialist, Center for Interdisciplinary Digital Research
BioClaudia Engel collaborates with students and faculty on digital research projects in the Anthropology Department, where she also has a lecturer appointment and teaches courses in GIS, Digital Methods, and Critical Data Practices. She is a member of the Research Data Services (RDS) Division at the Stanford Libraries. In that role she teaches workshops and supports researchers in the use of digital data repositories.
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Barbara Elizabeth Engelhardt
Professor (Research) of Biomedical Data Science and, by courtesy, of Statistics and of Computer Science
BioBarbara E Engelhardt is a Senior Investigator at Gladstone Institutes and Professor at Stanford University in the Department of Biomedical Data Science. She received her B.S. (Symbolic Systems) and M.S. (Computer Science) from Stanford University and her PhD from UC Berkeley (EECS) advised my Prof. Michael I Jordan. She was a postdoctoral fellow with Prof. Matthew Stephens at the University of Chicago. She was an Assistant Professor at Duke University from 2011-2014, and an Assistant, Associate, and then Full Professor at Princeton University in Computer Science from 2014-2022. She has worked at Jet Propulsion Labs, Google Research, 23andMe, and Genomics plc. In her career, she received an NSF GRFP, the Google Anita Borg Scholarship, the SMBE Walter M. Fitch Prize (2004), a Sloan Faculty Fellowship, an NSF CAREER, and the ISCB Overton Prize (2021). Her research is focused on developing and applying models for structured biomedical data that capture patterns in the data, predict results of interventions to the system, assist with decision-making support, and prioritize experiments for design and engineering of biological systems.
