People
(Also see our Group Photos & Lab Socials page!)
Current Members
Jeremy Dahl, Ph.D.
Associate Professor of Radiology
Jeremy is from the midwestern U.S. and received the B.S. degree in electrical engineering from the University of Cincinnati and the Ph.D. degree in biomedical engineering from Duke University. He is currently an Associate Professor with the Department of Radiology and directs this laboratory, which is focused on engineering for medical ultrasound imaging. Outside of work, he is actively involved in skiing, soccer, and chauffeuring kids to various events.
Dongwoon Hyun, Ph.D.
Instructor
Dongwoon received the B.S.E. and Ph.D. degrees in biomedical engineering from Duke University, Durham, NC, USA, in 2010 and 2017, respectively. He is currently an Instructor with the Department of Radiology, Stanford University, Stanford, CA, USA. His research interests include ultrasound beamforming and image reconstruction with artificial intelligence, ultrasound molecular imaging, real-time software beamforming, and the measurement of image quality.
You (Leo) Li, Ph.D.
Postdoctoral Scholar
Leo Li is a postdoctoral scholar in Dr. Jeremy Dahl’s group in the Department of Radiology at Stanford University. He received his Ph.D. degree from the Department of Biomedical Engineering at Duke University in 2017. His research focuses on developing AI-based ultrasound imaging technologies to address scientific and clinical challenges in human health.
Jihye Baek, Ph.D.
Postdoctoral Scholar
Jihye received her B.S. degree in physics with a mathematics minor from Ewha Womans University in South Korea and worked as a senior researcher in the Ultrasound research group at Samsung Madison. She received her Ph.D. degree in electrical and computer engineering from the University of Rochester in 2023. She is currently a Postdoctoral scholar in Dahl Ultrasound Research Laboratory at Stanford University. Her research interests include ultrasound molecular imaging, quantitative ultrasound, multiparametric analysis, and artificial intelligence applied to medical imaging.
Walter Simson
Scientific Research Staff
Walter received his Ph.D. in Computer Science from the Technical University of Munich in 2022, entitled “Physics-Informed Deep Learning for Advanced Ultrasound Imaging.” In 2022, Walter joined the Dahl Ultrasound Research Laboratory at Stanford University. His research focuses are Ultrasound Perception and Adaptive Ultrasound Reconstruction.
Andrew Andrzejek
Lab Manager
Andrew Andrzejek is from San Francisco, CA, and is an associate in the Dahl Ultrasound Research Laboratory at Stanford University. His interests include robotic ultrasound and ultrasound mediated drug delivery.
Jun Hong Park, Ph.D.
Postdoctoral Scholar
Jun Hong received the B.S. and Ph.D. degrees in Mechanical Engineering from Pohang University of Science and Technology (POSTECH), Republic of Korea in 2015, and 2021, respectively. He was a postdoctoral scholar in POSTECH (2021) and Korea Institute of Science and Technology (KIST), Republic of Korea (2021-2022). In early 2023, he joined the Dahl Lab in Radiology, Stanford University School of Medicine as a postdoctoral scholar. His research interests include ultrasound-mediated drug delivery, passive cavitation mapping, therapeutic and diagnostic ultrasound.
Louise Zhuang
Graduate Student
Louise was born in Chicago, IL, and grew up in northeast Georgia. She received a B.S. degree in Electrical Engineering from the Georgia Institute of Technology in 2020. She currently is an NSF GRFP fellow, and her research interests include signal processing and machine learning, especially in the areas of frequency-domain beamforming methods and sound speed estimation.
Thurston Brevett
Graduate Student
Thurston received a B.S. degree in Electrical Engineering from Northeastern University in 2018. He is currently a Ph.D. student in the department of Electrical Engineering at Stanford University. He is an NSF GRFP Fellow, a GEM Fellow, an EDGE Fellow, and a good fellow. His research interests include signal processing and optimization for beamforming algorithms.
Sergio Sanabria, Ph.D.
Scientific Research Staff
Sergio J Sanabria was born in Vitoria, Spain, in 1984. He received a M.Sc. degree in Telecommunications Engineering from the University of the Basque Country, Bilbao, Spain, in 2007, a Ph.D. degree from ETH Zurich, Switzerland, in 2012 (non-destructive testing of timber materials with air-coupled ultrasound), and a habilitation as Instructor from University of Zurich, in 2020 (ultrasound physics and image processing). From 2012 to 2014, he was a postdoc at the Institute for Building Materials of ETH (multi-scale bio-composite imaging based on neutron and synchrotron tomography), from 2014 to 2017 he was Senior Assistant at the Computer Vision Laboratory of ETH (co-lead of ultrasound elastography research), and from 2017 to 2018 a Pioneer Fellow/founder at the Innovation and Entrepreneurship Laboratory of ETH (translation of breast cancer diagnosis technology based on pulse-echo ultrasound tomography), from 2018 to 2020 a Medical Physicist at University Hospital of Zurich (clinical validation of sarcopenia quantification based on speed-of-sound) and from 2021 a tenure-track Ikerbasque fellow at the University of Bilbao (artificial intelligence for biomarker discovery based on combinations of ultrasound raw data and blood-based essays). In 2022 he joined the Dahl Lab as a Research Scientist/Engineer. His current-research interest is in prospecting tissue composition with multimodal ultrasound imaging by reconstructing acoustic properties and tissue angiogenesis. He works in close collaboration with ultrasound manufacturers and clinical partners to develop and translate new ultrasound sequences into medical products. Current clinical applications are staging of non-alcoholic fatty liver disease (NAFLD) and providing early stage indications of immunotherapy response in metastatic renal carcinoma (mRCC).
Saachi Munot
Graduate Student
Saachi is from Mumbai, India. She received a B.S degree Neuroengineering (individually designed major) with honors and distinction from Stanford University in 2023. She is currently a coterminal (master’s) student in Applied and Engineering Physics. Her research interests include signal processing and physics based beamforming techniques with application to transcranial blood flow imaging.