School of Engineering
Showing 41-60 of 90 Results
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Mohamed Elmoghany
Researcher, Computer Science
Staff, Program-Wu, J.BioMohamed has over 10 years of research and industry experience. He is currently working with Prof. Jiajun Wu, Mengdi Xu, and Weiyu Liu on robotics perception and learning. Previously, he interned at Adobe Research with Franck Dernoncourt (MIT PhD), submitting a CVPR main conference paper and publishing in the ICCV Long Video Foundations Workshop. He also published a NeurIPS’25 paper while interning at KAUST with Prof. Mohamed Elhoseiny. His research interests span Embodied AI, robot learning and manipulation, robotic perception, image & video diffusion models, video understanding, and AI for healthcare.
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Sigrid Elschot
Professor of Aeronautics and Astronautics
BioSigrid Elschot is a Professor of Aeronautics and Astronautics and founding director of the Space Environment and Satellite Systems laboratory. Her research focuses on understanding and mitigating the space environment to enable more resilient spacecraft for interplanetary and interstellar exploration. Her work includes space weather detection and modeling, which is central to Space Situational Awareness (SSA) and Space Domain Awareness (SDA), achieved by integrating in situ and remote sensing data with high fidelity simulations to characterize space hazards. Current efforts include experimental and computational studies of hypervelocity dust and debris impacts on spacecraft using dust accelerators, light-gas guns, and Particle-In-Cell simulations, and ground-based radar to remotely characterize space debris and meteoroid populations. Prof. Elschot also leads research programs in hypersonic plasma physics relevant to atmospheric re-entry vehicles, and space energy harvesting for spacecraft power and propulsion. Prof. Elschot has been the recipient of several awards, including the Presidential Early Career Award for Scientists and Engineers (PECASE), NSF CAREER award, DoE CAREER award, Outstanding Mentor Award and Outstanding Professor in Aeronautics and Astronautics.
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Drew Endy
Associate Professor of Bioengineering and Senior Fellow, by courtesy, at the Hoover Institution and at the Freeman Spogli Institute for International Studies
Current Research and Scholarly InterestsWe work to strengthen the foundations and expand the frontiers of synthetic biology. Our foundational work includes (i) advancing reliable reuse of bio-measurements and -materials via standards that enable coordination of labor, and (ii) developing and integrating measurement and modeling tools for representing and analyzing living matter at whole-cell scales. Our work beyond the frontiers of current practice includes (iii) bootstrapping biotechnology tools in unconventional organisms (e.g., mealworms, wood fungus, skin microbes), and (iv) exploring the limits of whole-genome recoding and building cells from scratch. We also support strategy and policy work related to bio-safety, security, economy, equity, justice, and leadership.
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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.
