Stanford University
Showing 361-370 of 803 Results
-
Christoforos Kozyrakis
Leonard Bosack and Sandy K. Lerner Professor of Engineering and Professor of Computer Science
BioChristos Kozyrakis is the Leonard Bosack and Sandy K. Lerner Professor of Engineering and a Professor of Electrical Engineering and Computer Science at Stanford University. His primary research areas are computer architecture and computer systems. His current work focuses on cloud computing, systems for machine learning, and machine learning for systems.
Christos holds a BS degree from the University of Crete and a PhD degree from the University of California at Berkeley. He is a fellow of the ACM and the IEEE. He has received the ACM SIGARCH Maurice Wilkes Award, the ISCA Influential Paper Award, the NSF Career Award, the Okawa Foundation Research Grant, and faculty awards by IBM, Microsoft, and Google. -
Siddharth Krishnan
Assistant Professor of Electrical Engineering, and by courtesy, of Bioengineering and of Materials Science and Engineering
BioSiddharth is an Assistant Professor of Electrical Engineering and a Terman Faculty Fellow at Stanford University. Prior to this, he was a K99-funded Research Scientist in the groups of Prof. Daniel Anderson and Prof. Robert Langer at the Koch Institute for Integrative Cancer Research at MIT and at Boston Children's Hospital. He received BS and MS degrees from Washington University in St. Louis, and his PhD from the University of Illinois at Urbana-Champaign from Prof. John Rogers' group. His work has focused on the development of bioelectronic devices for sensing and therapeutics. He has published over 20 scientific papers, is an inventor several granted and pending patents and is co-founded of Rhaeos Inc., a company focused on translating his graduate work on wireless wearable diagnostic tools for neurological surgery. His work has been recognized through several awards, including a postdoctoral fellowship from the Juvenile Diabetes Research Foundation, the 2019 Illinois Innovation Prize, a graduate student medal from the Materials Research Society and being named on MIT Technology Review’s Global Innovators Under 35 list.
-
Renesmee Kuo
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
BioRenesmee Kuo is an Electrical Engineering PhD candidate at Stanford University supported by NSF GRFP and Stanford Lieberman fellowship. Her research interests lie at the intersection of engineering and medicine. She focuses on validation of preclinical PET imaging tracers and their translation into the clinic for applications in neuroinflammatory diseases (e.g., MS, AD) and cancer (e.g., brain metastasis) in Prof. Michelle James' lab. She graduated from UC Berkeley with a BS in Bioengineering. At Berkeley, she worked in Prof. Steve Conolly's lab on Magnetic Particle Imaging (MPI), focusing on tracking CAR-T cells in immunotherapy using high-resolution MPI tracers. She also explored commercially-available high-resolution MPI tracers for early diagnosis of pulmonary embolisms and cardiovascular disease in preclinical settings.
