Jun Hong Park (2022-2025) - Jun Hong joined the lab as a postdoc and worked on microbubble-mediated delivery of drug loaded nanoparticles for both hepatocellular carcinoma and retinoblastoma. He also adapted the double-difference method from geophysics to passive cavitation imaging in the context of differentiable beamforming. Jun Hong was a main conduit of collaboration with other labs seeking to use therapeutic ultrasound in their research. Jun Hong is currently an assistant professor at Hankuk University of Foreign Studies in the Department of Biomedical Engineering.

Thurston Brevett (2019-2025) - Thurston joined the lab as a PhD graduate student in Electrical Engineering and worked on projects related to sound speed estimation. His project centered on estimating sound speed from "common midpoint gather" signals in order to maximize signal coherence without introducing a bias from the a priori beamforming speed of sound. Thurston contributed to several research projects involving sound speed estimation and developed the Quick Ultrasound Processing & Simulation (QUPS) toolbox for ultrasound imaging research. Thurston is currently a consultant for various ultrasound companies and is serving as our lab's part-time system administrator.

Walter Simson (2022-2024) - Walter joined the lab as a Research Engineer after collaborating with lab on deep-learning-based sound speed estimation. Walter contributed to several projects on sound speed estimation and co-developed the ultrasound autofocusing technique for aberration correction and sound speed estimation. Walter is currently an engineer at NVIDIA.

Saachi Munot (2022-2024) - Saachi worked on aberration correction in transcranial imaging as an undergraduate researcher in engineering and later as a Master's student in Applied Physics. Saachi is currently earning her Ph.D. at Columbia University.

Dongwoon Hyun (2012-2024) - Dongwoon joined the lab as a graduate student and stayed on as a Research Engineer and instructor. Dongwoon earned his Ph.D. in 2017 on a coherence beamforming in cardiac imaging. Post-Ph.D., Dongwoon contributed enormously to the lab during his tenure on several projects, most notably development of the RTBF GPU software beamforming toolbox, development of nondestructive ultrasound molecular imaging, and co-development of ultrasound autofocusing for aberration correction and sound speed estimation. Dongwoon published over 20 peer-reviewed articles and earned a K99/R00 from the NIBIB to develop nondestructive ultrasound molecular imaging for early breast cancer detection. He is currently an engineer at Siemens Healthineers.

Sergio Sanabria (2019-2023) - Sergio joined the lab as a visiting researcher and later as a Research Engineer. Sergio contributed to multiple speed of sound estimation projects and developed several quantitative ultrasound techniques.

You "Leo" Li (2013-2023) - Leo joined the lab as a graduate student and stayed on as a postdoc and instructor after earning his Ph.D. in 2017. Leo worked on numerous projects related to blood flow imaging with coherence beamforming and machine learning. He earned a K99/R00 award from the NICHD to develop vector flow imaging techniques with application to placental imaging. He is currently a professor in the Biomedical Engineering department of UT Dallas.

Rakesh Bam (2019-2022) - Rakesh joined the lab as a Research Scientist after a postdoc in the Willmann lab.  Rakesh worked on the development of B7-H3 and Thy1 targeted microbubbles for ultrasound molecular imaging and incorporated the use of a microfluidics system in targeted microbubble fabrication.

Jasmine Shu (2018-2022) - Jasmine worked on acoustic reciprocity applied to retrospective transmit focusing and short-lag spatial coherence imaging for cardiac imaging.  She also developed data acquisition tools on the Siemens Sequoia system.  Jasmine earned her MS in Bioengineering.

Marko Jakovljevic (2016-2022) - Marko joined the lab as a postdoc and worked on an early version of a layered media approach for sound speed estimation, the development of SLAC power Doppler imaging in the neonatal brain, and developed Fourier beamforming techniques including an adaptation of the Range Doppler method from the radar field to ultrasound.

Leandra Brickson (2016-2022) - Leah worked on neural network models to filter out reverberation and thermal noise from ultrasound channel signals as a Ph.D. student.  She developed a 3D convolutional neural network model to suppress noise and also developed a lightweight 2D permuted model for real-time application.

Rehman Ali (2016-2021) - Rehman developed sound speed estimation techniques and applied them in aberration correction using eikonal beamforming and wavefield correlation techniques as a Ph.D. student.  He introduced numerous forms of sound speed estimation, including a layered media approach using coherence maximization (Dix Inversion) and the IMPACT method. 

Idan Steinberg (2020-2021) - Idan joint the lab as a postdoc after a previous postdoc with the Gambhir lab. Idan worked on photoacoustic molecular imaging reconstruction techniques.

Arsenii Telichko (2016-2020) - Arsenii joined the lab as a postdoc and later as a Research Engineer.  Arsenii was involved in numerous projects including the development of ultrasound-guided ultrasound therapy systems for microbubble-mediated drug delivery and pancreatic islet cell stimulation, the development of a cavitation source localization technique for passive cavitation imaging, and the fabrication of a cylindrical transducer array for radiation force and shear wave imaging. Arsenii made significant contributions to the collection and calibration of speed of sound data for numerous projects in the lab.

Carl Herickhoff (2013-2020) - Carl earned his PhD from Duke University and joined the lab as a Research Engineer after working at Philips Healthcare.  Carl worked on cylindrical transducer arrays, developed low-cost 3D ultrasound systems from augmented 2D ultrasound, and helped startup the lab from the beginning. Carl is now a professor of Biomedical Engineering at the University of Memphis.

Lotfi Abou-Elkacem (2018) - Lotfi joined the lab as a postdoc after spending time in the Willmann lab (Translational Molecular Imaging Lab).  His research involved the early detection of pancreatic and breast cancer using novel molecular targets and non-invasive in vivoimaging techniques.

Kevin Looby (2016-2018) - Kevin worked on 3D acoustic map segmentation and simulation through heterogeneous media as a Master's student.

Matt Morgan (2014-2018) - Matt started working on low-cost 3D ultrasound as an undergraduate researcher. Matt went on to earn a Ph.D. from Duke University.

Valerie Perez (2016-2017) - Valerie developed and refined methods of phantom construction and microbubble formulations for ultrasound molecular imaging as a BioE REU intern and undergraduate researcher. Valerie went on to earn her Ph.D. from UT Southwestern.

Gustavo Chau (2016) - Gustavo worked on minimum variance beamforming as a visiting student from the Pontifical Catholic University of Peru (PUCP).  Gustavo went on to earn a Ph.D. from Stanford University.

Niral Sheth (2013-2014) - Niral worked on full-wave simulations related to coherence imaging as an undergraduate researcher.