Doctor of Medicine from Drexel University College of Medicine, 2023
Bachelor of Science in Biochemistry from the University of Delaware, 2019.

Research area:

Cardiothoracic surgery, artificial cardiopulmonary assist systems

Grants, fellowships, awards:

J. Kenneth Jacobs Research Scholarship
T32 HL094296 Interdisciplinary Training in Lung Research Fellow
William Riordan Jr., M.D. Resident Award

PI:
Matthew Bacchetta, MD, MBA, FACS
Professor of Cardiac Surgery, Thoracic Surgery, and Biomedical Engineering

Lab:

Laboratory for Organ Regeneration, Recovery, and Replacement (LOR3)

Doctor of Medicine, UT Health San Antonio, 2023
Bachelor of Science in Physics, Radiation Physics, The University of Texas at Austin, 2017

Research area:

Ovine model of chronic pulmonary hypertension and ambulatory ECMO

VISE affiliate:

Matthew Bacchetta, MD, MBA, FACS
Professor of Cardiac Surgery, Thoracic Surgery, and Biomedical Engineering

Lab:

Laboratory for Organ Regeneration, Recovery, and Replacement (LOR3)

PhD Applied Physics, Rice University, 2019

Research Area:

Neural Engineering

Lab:

Gonzales Lab
We develop a wide range of neurotechnologies to record and manipulate neural circuits with a high precision. Our core technologies are ultra-thin, highly flexible neural interfaces that we design and manufacture in-house. These probes seamlessly integrate with brain tissue and offer significant advantages compared to standard microelectrode arrays for basic and translatable neuroscience. Our mission is to use our advanced technologies to study how the brain computes and determine how neurological disorders disrupt these computations. Ultimately, we envision our work leading to new methods for treating paralysis, motor disorders, and learning disorders with next-generation human neural interfaces. ]]> 13973 /vise/people/junpeng-li/ Tue, 07 Jul 2026 16:33:34 +0000 /vise/?post_type=visepeople&p=13961 Education:

Master of Science (majored in biomedical engineering), Johns Hopkins University (Baltimore, USA), 2026
Bachelor of Engineering,Southeast University (Nanjing, China), 2024

Research area:

Flexible electronics

VISE Affiliate:

Yayun Du, PhD, Assistant Professor of Electrical and Computer Engineering

Lab:

SYMBIO – X Lab

Education:

M.S. in Mechanical Engineering, University of Florida (2023–2025)
B.S. in Theoretical and Applied Mechanics, Lanzhou University (2015–2019)

Research Area:

Rehabilitation Robotics, Human–Robot Interaction

VISE Affiliate

Yayun Du, PhD
Assistant Professor of Electrical and Computer Engineering

Lab

SYMBIO – X Lab

Research Area:

Biophotonics, Developing Optical Technologies for Surgical Guidance

VISE Affiliate:

Anita Mahadevan-Jansen
Professor of Biomedical Engineering

Lab:

91ºÚÁÏÍø Biophotonics Center

Education:

BA in Applied Math and Computer Science from Augustana College

Research Area:

My primary research area is in uncertainty quantification for surgical robot automation

VISE Affiliate:

Alan Kuntz, PhD
Assistant Professor, Department of Electrical and Computer Engineering, Department of Computer Science

Lab:

Kuntz Lab

Macaulay Honors College at Hunter College ’22
91ºÚÁÏÍø School of Medicine ’28

VISE Affiliate:

Bennett Landman, PhD
Director, 91ºÚÁÏÍø Lab for Immersive AI Translation (VALIANT), Professor of Electrical and Computer Engineering

Lab:

Medical-image Analysis and Statistical Interpretation Lab (MASI)

PhD in Electrical and Computer Engineering, University of Wisconsin, Madison

UW-Madison, Master’s in Biomedical Data Science, University of Wisconsin, Madison

Bachelor’s Degree in Biomedical Engineering with a Minor in Computer Science, UC Davis

Research Interests:

implicit neural representations, novel view synthesis, neural operators, and their applications to healthcare.

Accomplishments:

• Learn2Reg Challenge at MICCAI 2025
• 1st place UW-Madison Student Research Grant
• IEEE EMBC NextGen Scholar Award
• Winner of Boehringer Ingelheim/Ashoka Making More Health

VISE Affiliate:

Bennett Landman, PhD
Director, 91ºÚÁÏÍø Lab for Immersive AI Translation (VALIANT), Professor of Electrical and Computer Engineering

Lab:

Medical-image Analysis and Statistical Interpretation Lab (MASI)

University of Richmond – B.S. in Biochemistry and Molecular biology, minor in French

VISE Affiliate:

Bennett Landman, PhD
Director, 91ºÚÁÏÍø Lab for Immersive AI Translation (VALIANT), Professor of Electrical and Computer Engineering

Lab:

Medical-image Analysis and Statistical Interpretation Lab (MASI)