Bioengineering
Showing 201-300 of 559 Results
-
Michael Christopher Jewett
Professor of Bioengineering and, by courtesy, of Chemical Engineering
BioMichael Jewett is a Professor of Bioengineering at Stanford University. He received his B.S. from UCLA and PhD from Stanford University, both in Chemical Engineering. He completed postdoctoral studies at the Center for Microbial Biotechnology in Denmark and the Harvard Medical School. Jewett was also a guest professor at the Swiss Federal Institute of Technology (ETH Zurich). His research group focuses on advancing synthetic biology research to support planet and societal health, with applications in medicine, manufacturing, sustainability, and education.
-
Sarah Johnson
Postdoctoral Scholar, Bioengineering
BioI design and drive studies using wearables that combine modelling, data analysis and software development to address problems that limit human performance.
I have with a particular interest in female health, and work to translate findings into practical solutions. -
Seraphine Kamayirese
Postdoctoral Scholar, Bioengineering
BioI am a protein and peptide biochemist with a focus on biophysical characterization, structural activity relationship (SAR)study, and design and optimization of peptides targeting disease-relevant proteins. My Ph.D. research focused on designing and optimizing ligands that target the 14-3-3ε protein to disrupt its interaction with the cell cycle regulator CDC25A, an interaction known to suppress apoptosis in squamous cell carcinoma. Inhibiting this pathway is expected to promote apoptosis in cutaneous squamous cell carcinoma. At Stanford University, I am expanding my research to study antimicrobial peptidoids and peptides such as LL-37 and their interactions with amyloid beta peptides, and the potential application of the resulting complexes as antiviral therapeutics. I bring strong experience in rational peptide design, structural activity relationship studies, molecular dynamics simulations, peptides and peptoids synthesis and purification, protein expression, and biophysical assays. My research has led to multiple peer-reviewed publications, presentations at national and international conferences, and awards, including the Young Investigator Poster Award at the American Peptide Symposium.
-
Amit Kaushal
Adjunct Professor, Bioengineering
BioDr. Kaushal is Clinical Associate Professor of Medicine and Adjunct Professor of Bioengineering at Stanford University. He is a respected internal medicine physician with expertise in applications of computer science, artificial intelligence (AI), and machine learning (ML) to medicine and public health. He has worked in roles ranging from deeply technical to deeply clinical, in both academia and industry.
Dr. Kaushal brings over 20 years of research experience at the intersection of computer science and biomedicine. His work focuses on taking AI/ML applications from concept all the way through live clinical deployment, with attention to fair and ethical use of AI. His work has been featured in JAMA, Nature, Lancet Digital Health, NEJM AI, NEJM Catalyst Innovations in Care Delivery, Nature npj Digital Medicine, JAMA Network Open, Health Affairs Blog, and others; and he has been covered in popular media outlets such as Scientific American, Wired, STAT News, The Verge, LA Times, and more.
Dr. Kaushal launched Stanford University School of Engineering's undergraduate degree program in Biomedical Computation over 20 years ago; he serves as co-director of the major, which has graduated over 150 students since its founding. He is a faculty in the Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford Institute for Human-Centered Artificial Intelligence, Stanford Clinical Excellence Research Center, and Stanford Partnership for AI-Assisted Care.
Dr. Kaushal practices hospital medicine at VA Palo Alto, where he also serves as inaugural Director of the Amplified Reach Catalyst (ARC) Program, an embedded research-support infrastructure for VA hospitalist clinicians.
Dr. Kaushal has served in executive, operating, and advisory roles in industry.
Dr. Kaushal is board certified in both internal medicine and clinical informatics. He completed his BS (Biomedical Computation), MD, PhD (Biomedical Informatics) and Internal Medicine residency training all at Stanford University. -
Doyeon Kim
Masters Student in Bioengineering, admitted Autumn 2025
Current Research and Scholarly InterestsNeuroscience, systems neuroscience, memory dynamics
-
Kyung Geun Kim
Ph.D. Student in Bioengineering, admitted Autumn 2024
Masters Student in Bioengineering, admitted Spring 2026BioKyung Geun Kim is a Bioengineering PhD candidate in the Druckmann Lab at Stanford. He is interested in developing interpretable computational methods to study how neural population dynamics across brain regions support decision making and flexible behavior. Before Stanford, he earned his BS and MS in Electrical Engineering and Computer Sciences from UC Berkeley and worked in industry as a research scientist developing medical AI for clinical decision support.
-
Julie Kolesar
Research Engineer, Bioengineering
BioJulie Kolesar is a Research Engineer in the Human Performance Lab, supporting teaching and interdisciplinary research at the crossroads of engineering, sports medicine, and athletics. Her work aims to understand the underlying mechanisms relating biomechanical changes with function and quality of life for individuals with musculoskeletal disorders and injuries. As part of the Wu Tsai Human Performance Alliance, Dr. Kolesar engages in collaborations which seek to optimize human health and performance across the lifespan. Her expertise and research interests include experimental gait analysis, musculoskeletal modeling and simulation, and clinical interventions and rehabilitation.
-
Siddharth Krishnan
Assistant Professor of Electrical Engineering, and by courtesy, of Bioengineering and of Materials Science and Engineering
Current Research and Scholarly InterestsThe Krishnan Lab develops bioelectronic devices, tools and systems for closed loop disease management. Our work is divided into the following broad areas:
1. Biohybrid electronics for therapy and sensing: we combine living cells as functional parts of implantable devices, leveraging their ability to produce complex biologic therapeutics in a constitutive or triggerable manner, and their ability to sense their complex dynamic environment. These efforts are focused on developed functional cures for diseases like Type I Diabetes and other conditions requiring the regular infusion of proteins, peptides or antibody drugs.
2. Digital drug release systems for particulate forms of biologic drugs: Many complex protein and peptide drugs are not stable in solution, thereby frustrating the ability to delivery them through pumps and autoinjectors. This need is particularly acute for drugs that need to be administered as emergency rescue therapies, such as glucagon in the context of type 1 Diabetes. We develop implantable, miniaturized microelectromechanical devices that can store particulate (powders, pills) forms of these drugs and release them in a close loop manner based on wireless inputs from sensors.
3. Wearable sensors: Wearables to detect biophysical (temperature, flow, cardiac activity) and biochemical markers of health are gaining importance for closed-loop disease management and personalized medicine. We design hardware for on-chip molecular profiling based on sampling biofluids in noninvasive or minimally invasive formats.
4. New wireless power architectures for implantable bioelectronics: We develop high-power, high-efficiency strongly coupled power harvesting system to power battery-free implant systems. -
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
-
Jin Hyung Lee
Associate Professor of Neurology and Neurological Sciences (Neurology Research), of Neurosurgery and of Bioengineering and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsIn vivo visualization and control of neural circuits
-
Marly LeSene
Program Director, Communications & Initiatives, Bioengineering
Current Role at StanfordProgram Director, Communications & Initiatives
-
Craig Levin
Professor of Radiology (Molecular Imaging Program at Stanford/Nuclear Medicine) and, by courtesy, of Physics, of Electrical Engineering and of Bioengineering
Current Research and Scholarly InterestsMolecular Imaging Instrumentation
Laboratory
Our research interests involve the development of novel instrumentation and software algorithms for in vivo imaging of cellular and molecular signatures of disease in humans and small laboratory animal subjects. -
Michael Lin
Professor of Neurobiology, of Bioengineering and, by courtesy, of Chemical and Systems Biology
Current Research and Scholarly InterestsOur lab applies biochemical and engineering principles to the development of protein-based tools for investigating biology in living animals. Topics of investigation include fluorescent protein-based voltage indicators, synthetic light-controllable proteins, bioluminescent reporters, and applications to studying animal models of disease.
-
Jonathan T.C. Liu, PhD
Professor of Pathology and Professor, by courtesy, of Bioengineering
Current Research and Scholarly InterestsBiomedical optics
In vivo microscopy
Slide-free pathology
Three-dimensional microscopy
3D pathology
Optical biopsy
Image-guided surgery
Early detection
Artificial intelligence
Machine learning
Deep learning
Computational analysis
Computational pathology
Virtual staining
Molecular imaging -
Katherine Liu
MD Student, expected graduation Spring 2029
Ph.D. Student in Bioengineering, admitted Autumn 2026
MSTP StudentCurrent Research and Scholarly InterestsSignal and image processing of neural dynamics under various brain states
-
Cuyler Luck
Postdoctoral Scholar, Bioengineering
Current Research and Scholarly InterestsI am a primarily lab-based (but computationally competent) biologist with a broad interest in understanding both how cells evolve to cause disease and how we might leverage similar strategies to engineer new behaviors into organisms. I enjoy doing science in diverse research areas (previously including malaria, chromatin remodeling in yeast, and several types of cancer), and I am excited to continue this trend by building synthetic biology tools for deployment in plants as a postdoc.
-
Emma Lundberg
Associate Professor of Bioengineering and of Pathology
BioDr. Emma Lundberg is an Associate Professor of Bioengineering and Pathology at Stanford University and serves at the Director of the Cell Atlas of the Human Protein Atlas initiative in Sweden, where she is also Professor at KTH Royal Institute of Technology. At the intersection of bioimaging, proteomics, and artificial intelligence, her research aims to define the spatiotemporal organization of the human proteome at both cellular and subcellular level. Dr. Lundberg aims to develop integrated models of human cells to elucidate how variations in protein localization patterns influence cellular function, ultimately enabling the simulation of cell behavior and a systems-level understanding of how biological information is spatially encoded. The Lundberg Lab is responsible for creating the Subcellular Atlas of the Human Protein Atlas database (https://www.proteinatlas.org/). Dr. Lundberg is dedicated to building virtual cell models to simulate cell behavior, and is passionate about engaging the public in her work through citizen science games and computational challenges.
Dr. Lundberg holds a Master’s degree in Bioengineering and a PhD in Biotechnology from KTH Royal Institute of Technology in Sweden. She has served as Secretary General of the Human Proteome Organization, and is actively involved in advisory roles for numerous open-access databases and cell mapping efforts such as the CZI AI Virtual Cell, Human Cell Atlas consortium, UniProt db, Reactome db, Human Proteome Project and various pharma and biotech companies. As a token of her leadership skills and advocate for open science, she was twice recognized as top 10 under 40 for future leaders in biopharma and omics.
