Stanford University
Showing 1-20 of 30 Results
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Michelle María Early Capistrán
Postdoctoral Scholar, Oceans
BioMichelle María Early Capistrán is a David H. Smith Conservation Fellow at the Crowder Lab. Her transdisciplinary research focuses on working collaboratively with coastal communities to improve conservation practice by integrating Local Ecological Knowledge and marine ecology. She was originally trained as a Cultural Anthropologist and holds an M.S. and PhD in Marine Science and Limnology (Universidad Nacional Autónoma de México, UNAM). For over a decade, she has collaborated with rural fishing communities in the Baja California peninsula to understand long-term changes in the abundance of endangered and culturally important green turtles (Chelonia mydas). She will work with Prof. Crowder, in collaboration with Jeff Seminoff of the NOAA Southwest Fisheries Science Center, to develop species distribution model for green turtles under climate change by integrating Local Ecological Knowledge and Citizen/Community Science.
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Duncan Eddy
Postdoctoral Scholar, Aeronautics and Astronautics
BioDuncan Eddy is a research fellow in the Stanford University Department of Aeronautics and Astronautics. He completed his PhD in Aerospace Engineering from Stanford, funded by the National Defense Science and Engineering Graduate Fellowship. His current research is focused on decision-making in safety-critical, climate, and space systems, where operational decisions must be made quickly and correctly in complex environments while still being explainable and understandable by human stakeholders.
He is currently the Executive Director of the Stanford Center for AI Safety, and a post-doctoral researcher with appointments in Mineral-X and the Stanford Intelligent Systems Laboratory (SISL).
Prior to this, He started and led the Spacecraft Operations Group at Capella Space, the first US Commercial Synthetic Aperture Radar Earth Imaging constellation. There he developed the first fully-automated mission operations system, realizing lights-out tasking-to-delivery of radar satellite data for a commercial constellation. He subsequently started and led the Constellation Operations and Space Safety Groups at Project Kuiper. Most recently, he was a Principal Applied Scientist at Amazon Web Services, where he worked on building software services for large-scale distributed edge compute applications. -
Edward Eid
Postdoctoral Scholar, Dermatology
BioEdward Eid, MD is a Postdoctoral Research Fellow in the Department of Dermatology at Stanford University working with Professor Jean Tang.
He received his medical degree from University of Beirut. After graduation, he completed his dermatology residency training at the University of Beirut Medical Center.
His current work focuses on clinical trials for rare genetic disorders of the skin including gene therapy for recessive dystrophic epidermolysis bullosa.
When he is not working, Edward enjoys his spare time reading, jogging, drumming, and going to the gym. -
Cassondra Eng
Postdoctoral Scholar, Psychiatry
BioDr. Eng is a NIH funded T32 Sports Neuroscience Postdoctoral Scholar in the Center for Interdisciplinary Brain Sciences Research. She investigates optimizing immersive interventions that promote neurological, cognitive, and physical health outcomes from a multimethodological approach. Dr. Eng's research program focuses on attentional processes in varying technologically-enhanced contexts, with a focus on the neurophysiological mechanisms that produce differential outcomes using portable functional near-infrared spectroscopy (fNIRS), a modern neuroimaging technique ideal for children and neurodiverse populations because it is noninvasive and permits mobility in naturalistic settings. She specializes in utilizing behavioral, neurophysiological, and statistical methods across development: standard task-based and clinical norm-referenced assessments of attention, quantitative and qualitative assessments of children’s behavior and learning in ecological contexts; eye tracking, fNIRS, EEG, cardiovascular changes related to performance and stress; mixed effects modeling, multivariate analysis, educational data mining, and modern longitudinal data analysis.
Dr. Eng earned her Ph.D. from Carnegie Mellon University in Developmental Psychology and Cognitive Neuroscience and Program for Interdisciplinary Education Research Certification through an Institute of Education Sciences-funded Predoctoral Fellowship after completing an NIH funded Post-Baccalaureate Research Education Program at Virginia Tech. She advocates for educational neuroscience: the field bridging cognitive science, psychology, educational technology, human-computer interaction, computer science and related disciplines to understand the optimal learning contexts that support brain development and cognitive skills crucial for overall wellbeing and success. -
Francis Engelmann
Postdoctoral Scholar, Computer Science
BioFrancis Engelmann is a PostDoc at Stanford university with Prof. Leonidas Guibas and Prof. Jeannette Bogh. Before that, he was a postdoctoral researcher at ETH Zurich collaborating with Prof. Marc Pollefeys and a visiting researcher at Google Zurich working with Federico Tombari. His current research focuses on computer vision and deep learning, particularly in the realm of 3D scene understanding. Prior to joining ETH Zurich, he obtained his Ph.D. from RWTH Aachen University under the guidance of Prof. Bastian Leibe, and interned at Google X in Munich, Google Research in Zurich, and Apple in California. Francis is a Fellow of the ETH AI Center, a member of the ELLIS Society, and a recipient of ETHZ Career Seed Award and SNSF Postdoc.Mobility fellowship.