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Jeremy Dahl, Ph.D.
Associate Professor of Radiology
Jeremy was born in Ontonagon, MI, in 1976. He received the B.S. degree in Electrical Engineering from the University of Cincinnati, Cincinnati, OH, in 1999. He received the Ph.D. degree in Biomedical Engineering from Duke University in 2004. He was an Assistant Research Professor with the Department of Biomedical Engineering at Duke University, and joined the Department of Radiology faculty at the Stanford University School of Medicine in August 2014, becoming tenured in February 2018. His research interests include adaptive beamforming, noise in ultrasonic imaging, and radiation force imaging methods.
Carl Herickhoff, Ph.D.
Carl was born in Mankato, MN, in 1982. He received the B.S. degree in Electrical Engineering from the University of Notre Dame, South Bend, IN, in 2005. He received the Ph.D. degree in Biomedical Engineering from Duke University in 2011. He worked at Philips Healthcare in Andover, MA, in the Advanced Transducer Technology R&D team until late 2013, when he joined the Dahl Lab as a researcher and instructor. His research interests include IVUS transducer design and imaging methods, capacitive micromachined ultrasonic transducers (cMUTs), and novel low-cost 3D ultrasound techniques (acquisition, reconstruction, intuitive display, image fusion and procedure guidance).
Dongwoon Hyun, Ph.D.
Dongwoon Hyun received the B.S.E. degree in Biomedical Engineering from Duke University in 2010. He received the Ph.D. degree in Biomedical Engineering from Duke University in 2017. His research interests include beamforming, coherence imaging, machine learning, and GPU programming for real-time algorithm implementation.
Rakesh Bam, Ph.D.
Rakesh was born Nepal, and received the B.S. degree in Biochemistry from Southern Arkansas University, Magnolia, AR, in 2008. He received the Ph.D. degree in Biomedical Sciences (Cancer Track) from University of Arkansas for Medical Sciences, Little Rock, AR, in 2014. He was a Postdoctoral Scholar at Stanford University in the Departments of Radiation Oncology (2015-2017) and Radiology (2017-2019), working on drug screening and gene editing (CRISPR) against dysregulated genes in cancer stress response pathway, and developing ligands and probes for Ultrasound/Photoacoustic Molecular Imaging for breast and pancreatic cancer detection. His current research interests are to develop clinically translatable B7-H3 and Thy-1-targeted microbubbles for the accurate and early detection of cancer by Ultrasound Molecular Imaging.
Marko Jakovljevic, Ph.D.
Marko Jakovljevic received the B.S. degree in Biomedical Engineering from the University of Texas at Austin in 2009. He received the Ph.D. degree, also in Biomedical Engineering, from Duke University in 2015. In early 2016, he joined the Department of Radiology at Stanford School of Medicine as a Postdoctoral Research Fellow. His research interests include coherence imaging, synthetic aperture beamforming, and array signal processing in general.
Arsenii Telichko, Ph.D.
Arsenii was born in Moscow, Russia, in 1989. He received both B.S. and M.S. degrees in Applied Mathematics and Physics from Moscow Institute of Physics and Technology, in 2011, and 2013, respectively. He received the Ph.D. degree in Condensed Matter Physics from Moscow Institute of Physics and Technology in 2015. In 2016 Arsenii joined the Dahl Lab as a Postdoctoral Scholar. His research interests include intravascular ultrasound design, and the use of microbubbles as ultrasound contrast agents.
You (Leo) Li, Ph.D.
You Li was born in Wuhan, China. He received the M.S. degree in biomedical engineering from Duke University in 2011, and the Ph.D. degree in biomedical engineering from Duke University in 2017. His research interests include spatial coherence imaging and computational imaging.
Leandra Brickson, M.S.
Leandra received the B.S. degree in Electrical Engineering from the University of Minnesota in 2012, and the M.S. degree in Electrical Engineering from North Carolina State University in 2015. She is currently a Ph.D. candidate in Electrical Engineering at Stanford. Leandra's background includes optics, light transport, and fabrication, with research focused on image processing and deep learning of ultrasound images and volumes under the supervision of Dr. Jeremy Dahl. Her research interests include biomedical applications of machine learning using deep learning and reinforcement learning.
Rehman Ali received the B.S. degree in biomedical engineering from Georgia Institute of Technology in 2016. He is currently an NDSEG fellow, completing a M.S. in Computational & Mathematical Engineering and pursuing a Ph.D. in Electrical Engineering at Stanford. His research interests include signal processing, inverse problems, computational modeling of acoustics, and real-time beamforming algorithms. His current research is developing accurate and spatially resolved speed-of-sound imaging in tissue based on phase aberration correction and spatial coherence.
Jasmine grew up in Columbus, OH. She received her B.E. in Biomedical Engineering at Vanderbilt University with minors in Computer Science and Engineering Management. She is currently an NSF fellow, pursuing a Ph.D. in Bioengineering at Stanford. Her research interests include ultrasound image processing and low-cost imaging methods.
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.
Sergio J Sanabria was born in Vitoria, Spain, in 1984. He received the M.Sc. degree in Telecommunications Engineering from the University of the Basque Country, Bilbao, Spain, in 2007, and the Ph.D. degree from ETH Zurich, Switzerland, in 2012 (non-destructive testing of timber materials with air-coupled ultrasound). 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 Pioneer Fellow at the Innovation and Entrepreneurship Laboratory of ETH (translation of breast cancer diagnosis technology based on speed-of-sound imaging). Since 2018, he is pursuing his habilitation at the University Hospital of Zurich, and since October 2019, he is a visiting scholar at the Department of Radiology at Stanford School of Medicine. His current-research interests include multi-parametric ultrasound biomarkers and deep-learning based texture analysis for tissue quantification and diagnostics, with applications to liver, muscle and breast disease.