Chengshuai “Abraham” Yang, PhD
Dr. Chengshuai “Abraham” Yang holds a PhD in optical imaging and brings more than 10 years of research experience in computational imaging, biomedical imaging, machine learning, deep learning, and artificial intelligence. His expertise spans AI-driven medical image analysis, computational imaging reconstruction, multimodal learning, large language models, diffusion models, and physics-informed AI for biomedical applications. In the Zaman Lab, Dr. Yang contributes to the development of advanced AI and computational imaging methods for biomedical research, including early disease detection and intelligent analysis of complex research data.
Outside of work, Dr. Yang enjoys running and typically runs at least 10 kilometers each week, often completing it within an hour.
You may reach Abraham via email: Email
Google Scholar: Chengshuai Yang
Abid Miah
Abid Miah graduated from Texas Tech University in May 2026 with a Bachelor of Science in Microbiology and minors in Chemistry and Health Professions. During the summer of 2026, he is currently working as a Research Intern in Dr. Zaman's lab, where he contributes to biomedical imaging and translational research. In fall 2026, Abid will begin medical school at UT Southwestern Medical School, where he hopes to combine clinical medicine with research advancements to improve patient care and wellbeing.
In his free time, Abid enjoys playing basketball, spending time with family and friends, and watching Netflix shows.
You can reach Abid via email or LinkedIn: Email | LinkedIn
Micah Keown
Micah is an undergraduate biomedical engineering student at UT Dallas (BS '27), with minors in computer science and software engineering. He is currently specializing in developing animal models of myocardial ischemia in Dr. Zaman’s lab. His research at UT Dallas focuses on engineering light-activatable nanoparticles to enhance the efficacy of cancer treatments. During a previous summer internship at UT MD Anderson Cancer Center, he characterized patient-derived antibodies to evaluate their impact on immunotherapy outcomes. He is a National Merit Scholar and a founding officer of the UTD Biotech Club.
In his free time, Micah likes weightlifting, playing violin, and visiting Torchy’s Tacos.
You can reach Micah via email or LinkedIn: Email LinkedIn
Xiaotian (Dennis) Wu, PhD
Dr. Xiaotian (Dennis) Wu currently serves as a Senior Research Scientist at Riverain Technologies, where he contributes his expertise in biomedical imaging, instrumentation, and computational technology to the development of clinically relevant imaging solutions. Riverain Technologies develops artificial intelligence–enabled tools for chest CT and X-ray interpretation, including applications for pulmonary nodule detection and coronary artery calcification assessment. During his tenure in Dr. Raiyan Zaman’s laboratory at Harvard Medical School, Dr. Wu was a NIH T32 Fellow and played a pivotal role in transforming the CIRPI system from a laboratory-based platform into a portable imaging system for the detection and evaluation of vulnerable coronary plaques. His work substantially advanced the system’s engineering design, operational versatility, and translational potential, helping move this innovative multimodal imaging technology closer to practical cardiovascular applications.
Michelle Hoang Nguyen
Michelle Hoang Nguyen is a PhD candidate in the Department of Biomedical Engineering at the Johns Hopkins University School of Medicine. Earlier in her scientific career, she worked as an undergraduate research assistant in Dr. Raiyan Zaman’s laboratory, where she contributed to the schematic design and early engineering development of the Circumferential Intravascular Radioluminescence–Photoacoustic Imaging (CIRPI) System, an NIH R00-funded project. Her progression from undergraduate research to doctoral training at Johns Hopkins reflects her continued commitment to biomedical engineering, translational imaging, and the development of technologies with meaningful clinical impact.
Shu Kang, PhD
Shu Kang, PhD, is a biomedical engineer specializing in electrophysiological signal processing, neuroimaging, and multimodal research data analysis. During her time with Dr. Zaman, she contributed to research on the early detection of circulating cancer cells. Her research also includes neurodevelopmental prediction in newborns with hypoxic-ischemic encephalopathy, transcranial photobiomodulation, and spinal cord and dorsal root ganglion stimulation for chronic pain management.
Dr. Kang is now a Staff Scientist at Children’s National Hospital in Washington, D.C., where she applies advanced imaging approaches to pediatric neuroimaging and the study of neurological disorders affecting children.
In her free time, Dr. Kang enjoys traveling, hiking in forests, and attending concerts with family and friends.
Mohit Gupta, BSEE
Mohit is a current MD/MPH candidate at UTSW. He graduated from the University of Texas at Austin with a BS in Electrical Engineering, concentrating in Computer Architecture and Embedded Systems, and a BSA in Biochemistry. As an undergraduate, he worked as a software engineering intern at Fujitsu Network Communications and Qualcomm and completed an internship as a Summer Business Analyst at McKinsey & Company. After graduating, Mohit worked as an Associate Consultant at Boston Consulting Group in Dallas for 1 year prior to matriculating at UTSW.
In his free time, Mohit enjoys cooking, reading, traveling, spending time outdoors, and playing the piano.
You may reach Mohit via email: Email
Ian Zurutuza, MS, BS
Ian earned both his Master's and Bachelor's in biomedical engineering from the University of North Texas, graduating with his Master's in Fall 2021. During his senior design project, he prototyped a device to estimate heart rate in real time from a live video stream. Starting in graduate school, he worked as a teaching assistant where he led the lab portions of biomedical data acquisition and electronics instrumentation courses instructing students in basic circuit design and troubleshooting. After a year of teaching, he joined a team at UNT’s Health Science Center as a research assistant. This group’s goal was to quantify the difference in visuomotor integration between autism spectrum disorder and typically developing populations. As a part of this team, he developed a post-processing pipeline to integrate eye-tracking glasses into an existing virtual-reality and motion-capture recording lab transforming the 2D pixel gaze position recorded by the eye-tracking glasses into a 3D gaze vector.
When he is not at work, you can find him running, at the climbing gym, or cooking.
You may reach Ian via email: Email
Zane Akers
Zane Akers was the first-year electrical engineering student from Texas A&M University.