Rakesh Bam (2019-2022) - Rakesh earned his PhD from the University of Arkansas for Medical Sciences and joined the lab as a Research Scientist.  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.

Lotfi Abou-Elkacem (2018) - Lotfi received the PhD degree from the RWTH Aachen University and 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.

Junhong Lin (2018) - Junhong worked on the Low-cost 3D ultrasound project during the summer of 2018 as a visiting undergraduate research intern from Huazhong University, completing sensor integration and developing a freehand acquisition and volume reconstruction platform. 

Alicia Ugenti (2018) - Alicia worked on phantom construction for molecular imaging during the summer of 2018 as a Canary CREST program intern from Amherst College.  

Marko Jakovljevic (2016-2022) - Marko earned his PhD from Duke University and joined the lab as a postdoc.  Marko 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.  She developed a 3D convolutional neural network model to suppress noise and also developed a lightweight 2D permuted model for real-time application.  Leah earned her PhD in Electrical Engineering.

Rehman Ali (2016-2021) - Rehman develop sound speed estimation techniques and applied them in aberration correction using eikonal beamforming and wavefield correlation techniques.  He introduced numerous forms of sound speed estimation, including a layered media approach using coherence maximization (Dix Inversion) and the IMPACT method.  Rehman earned his PhD in Electrical Engineering.

Arsenii Telichko (2016-2020) - Arsenii earned his PhD from the Moscow Institute of Physics and Technology and 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.

Kevin Looby (2016-2018) - As a Master's student and Research Assistant, Kevin worked on 3D acoustic map segmentation and simulation, and also helped develop simulation tools for the intravascular ARFI project. 

Taehwa Lee (2016-2017) - After completing his Ph.D. at the University of Michigan in 2015, Taehwa was a postdoctoral research fellow in both the Dahl Lab and the Willmann/Translational Molecular Imaging Lab. 

Valerie Perez (2016-2017) - Valerie started as a BioE REU summer intern, developing and refining methods of phantom construction (for B-mode and small-vessel/flow imaging to test contrast-enhanced ultrasound techniques). She continued research with members of the Dahl, Willmann, and Gambhir labs throughout her senior year, working on microbubble formulations for use as contrast agents and for targeted drug delivery. 

Nathan Staffa (2016) - Nathan worked on the Intravascular ARFI project as a BioE REU summer intern, improving Field-simulation and finite-element models.  Nathan continued this work through the end of 2016.

Gustavo Chau (2016) - Gustavo worked on the Minimum Variance Beamformer project as a visiting student from the Pontifical Catholic University of Peru (PUCP).  

Matt Morgan (2014-2018) - Matt started working on the Low-cost 3D ultrasound project (sensor integration, 3D image reconstruction methods, etc.) as an undergraduate researcher in Biomedical Engineering at Duke University (Durham, NC), came to work at Stanford for the summer after finishing his bachelor's, and continues to support and develop the project.  

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.

Niral Sheth (2013-2014) - Niral worked on full-wave simulations related to coherence imaging as an undergraduate Pratt Fellow in Biomedical Engineering at Duke University, Durham, NC.