People

Adam Wang, PhD

Dr. Wang is an Assistant Professor of Radiology and (by courtesy) of Electrical Engineering at Stanford University. He completed his PhD in Electrical Engineering at Stanford on maximizing the information content of dual energy CT. He then completed a postdoctoral fellowship at Johns Hopkins University in the I-STAR Lab, developing reconstruction and registration methods for image-guided surgery. Dr. Wang then spent several years in industry as a Senior Scientist in the Applied Research division at Varian Medical Systems, working on a number of topics related to image-guided radiotherapy. Since returning to Stanford, Dr. Wang is leading a comprehensive research program in advanced x-ray and CT imaging systems and methods, applied to diagnostic imaging and image-guided interventions and therapies.

Dr. Wang enjoys spending time with his family. He also enjoys running, biking, hiking, and traveling.

Maria Jose Medrano-Hammon, PhD

Dr. Medrano-Hammon is a postdoctoral fellow in the Wang group from Tegucigalpa, Honduras. She obtained her bachelor’s degree at Harding University in Searcy, Arkansas, and her PhD in electrical engineering at Washington University in St. Louis. During her PhD work she assessed and implemented model-based image reconstruction techniques and spectral material decomposition methods in proton radiotherapy. This line of research encompassed the assessment of model-based artifact reduction techniques, development of novel experiments, and implementation of Monte Carlo simulations through clinical proton therapy planning systems and Geant4/TOPAS. At Stanford, she will focus on the development of novel image reconstruction and deep-learning techniques to optimize CT image quality and patient dose delivery for different clinical tasks.

In her spare time Maria enjoys learning about new cultures, playing violin, long-distance running, hiking, and CrossFit. 

Liyan Sun, PhD

Dr. Sun is a postdoctoral fellow in the Wang group. He obtained his PhD degree from Xiamen University in China. His main research interests were fast medical image reconstruction based on deep learning, medical image segmentation under data-limited conditions, and medical image synthesis specifically generating pseudo-healthy images during his PhD program. His research aim is focused on acquiring high-quality medical images with high time efficiency and low radiation exposure.  At Stanford, he will focus on developing acquisition and reconstruction methods for enhancing novel CT systems and applications, including photon-counting CT and time-resolved breast CT. Liyan enjoys swimming, hiking, and cooking.

Alan Li

Alan is a Biomedical Physics PhD student. He completed his BS in Computer Science and Physics at UNC Chapel Hill. Alan is developing advanced methods for photon counting CT, with application as a novel biomarker for knee health.

Tobias Riss

Tobias is a visiting second-year Master’s student in Biomedical Engineering and Medical Physics at the Technical University of Munich (TUM). His current work focuses on developing predictive models for CBCT parameter optimization to enhance image quality for specific clinical tasks. Outside of his academic work, Tobias enjoys staying active through racket sports and spending time outdoors hiking and camping. 

Minwoo Yu

Minwoo is a visiting PhD student from Yonsei University in South Korea. His research interests are developing AI-based CT image reconstruction models using additional domain data. In his spare time, he enjoys martial arts training.

Robert Bennett, M.Eng.

Mr. Bennett is laboratory manager and research engineer for the Wang Group. He supports group members and guest researchers with CBCT experiments on the Zeego C-arm, table-top x-ray, and photon counting CT systems. Robert brings experience from industry and academia in diagnostic x-ray imaging, medical physics, MEMS display technology, electronics, mechatronics, mechanical design, rapid prototyping, product design, systems integration, and experimentation. He holds B.Sc. (Physics, CS) and M.Eng. (ME) degrees. Robert enjoys working in a talented team of individuals on a diverse set of applications.

Kaylee Fang

Kaylee is a research assistant in the Wang lab. She completed her BS in Computer Science at Columbia University. She is interested in machine learning and computer vision in the context of advancing medical imaging capabilities. Kaylee also enjoys art, music, and exploring both cities and nature.

Linxi Shi, PhD

Dr. Shi is a senior scientist in the Wang lab. She earned her MS in Biomedical Engineering at Worcester Polytechnic Institute, her PhD in Medical Physics from Georgia Institute of Technology, and a postdoctoral fellowship with the Stanford Cancer Imaging Training program in the Wang lab. Dr. Shi’s research interests focus on development of novel medical imaging techniques, including algorithm design for tomographic reconstruction, artifact correction, and image processing for various imaging modalities. During her PhD, she developed novel artifact corrections and reconstruction algorithms for cone beam computed tomography, with a focus on applications of breast cancer diagnosis and image-guided radiation therapy. At Stanford, Dr. Shi works on developing advanced clinical translational x-ray and CT imaging systems.

In her spare time, Dr. Shi enjoys running, playing basketball, and swimming. She also likes traveling and exploring interesting things with family and friends.

Sen Wang, PhD

Dr. Wang is an Instructor in the Wang group. He previously completed his postdoctoral fellowship in the Wang group and his BS and PhD in the Department of Engineering Physics at Tsinghua University. Sen's research interests focus on technologies and methods for image processing, reconstruction, and recognition, especially in the medical field. His PhD work investigated reconstruction algorithms and applications of x-ray spectral imaging, including photon counting detector modeling and correction, as well as quantitative imaging and computer vision with deep learning on x-ray images and other medical images. At Stanford, Dr. Wang works on advanced CT detector designs and imaging algorithms.

Dr. Wang enjoys running, swimming, and reading in his spare time.

Manuela Vasquez

As an Administrative Associate, Manuela is dedicated to keeping scientists organized, prioritized, and less stressed. She practices a streamlined and intuitive approach to assistance. She is open-arms to opportunities that will broaden her horizon. Manuela is a team player, willing to lead or follow, eager to learn, and is self-motivated. She is committed to excellence in service. Manuela's philosophy centers around what role she can play in helping others find solutions. Enthusiastic and personable, her passion is to contribute, support, and make a difference.