School of Engineering
Showing 301-350 of 370 Results
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Siddharth Krishnan
Assistant Professor of Electrical Engineering, and by courtesy, of Bioengineering
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.
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Ilan Kroo
Thomas V. Jones Professor in the School of Engineering
BioProfessor Kroo's research involves work in three general areas: multidisciplinary optimization and aircraft synthesis, unconventional aircraft, and low-speed aerodynamics. Current research in the field of aircraft synthesis, sponsored by NASA and industry, includes the development of a new computational architecture for aircraft design, and its integration with numerical optimization. Studies of unconventional configurations employ rapid turnaround analysis methods in the design of efficient subsonic and supersonic commercial aircraft. Recent research has included investigation of configurations such as joined wings, oblique wings, and tailless aircraft. Nonlinear low-speed aerodynamics studies have focused on vortex wake roll-up, refined computation of induced drag, the design of wing tips, and the aerodynamics of maneuvering aircraft.
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Ellen Kuhl
Catherine Holman Johnson Director of Stanford Bio-X, Walter B Reinhold Professor in the School of Engineering, Professor of Mechanical Engineering and, by courtesy, of Bioengineering
Current Research and Scholarly Interestscomputaitonal simulation of brain development, cortical folding, computational simulation of cardiac disease, heart failure, left ventricular remodeling, electrophysiology, excitation-contraction coupling, computer-guided surgical planning, patient-specific simulation
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Mittal Kumar
Graduate, Stanford Center for Professional Development
BioMittal Kumar is a biomedical informatics researcher with a global academic journey across India, Italy, Spain, and the United States. He holds a Bachelor’s degree in Bioinformatics from Sapienza University of Rome, studied genomics and AI as an Erasmus scholar at the University of San Jorge in Spain, and is completing his Master’s in Biomedical Informatics at Stony Brook University in New York.
Mittal’s work bridges bioinformatics, clinical informatics, and artificial intelligence, with a focus on turning complex genomic and health data into practical tools that improve patient care. His experience spans academic research in genomics and medical AI as well as applied informatics in U.S. healthcare systems. He is committed to advancing precision medicine and building technologies that are globally scalable and equitable.
Education
•M.S. Biomedical Informatics, Stony Brook University, USA
•B.S. Bioinformatics, Sapienza University of Rome, Italy
•Erasmus Exchange, Genomics & AI, University of San Jorge, Spain
Research & Focus Areas
•Biomedical and Clinical Informatics
•Genomics and Precision Medicine
•AI for Healthcare (EHR + Imaging)
•Scalable Data Pipelines for Health Systems
Experience Highlights
•Applied informatics in U.S. healthcare (EHR analytics, workflow optimization, clinical decision support)
•Research on AI-driven hospital readmission prediction and MRI tumor segmentation
•Academic projects integrating genomics, AI, and clinical data
Professional Affiliations
•American Medical Informatics Association (AMIA)
•American Health Information Management Association (AHIMA)
•Healthcare Information and Management Systems Society (HIMSS) -
Anshul Kundaje
Associate Professor of Genetics and of Computer Science
Current Research and Scholarly InterestsWe develop statistical and machine learning frameworks to model gene regulation and decipher the genetic and molecular basis of disease
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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.
