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, 91������ Lab for Immersive AI Translation (VALIANT), Professor of Electrical and Computer Engineering

Lab:

Medical-image Analysis and Statistical Interpretation Lab (MASI)

B.Sc. in Physics, Urmia University, Iran, 2009

M.Sc. in Optoelectronics and Photonics, Koc University, Turkey, 2015

Ph.D. in Vision Science, University of Murcia, Spain, 2023

Research area:

translating advanced imaging and optical techniques into practical applications that directly impact public health. My research interests include biomedical imaging, OCT, visual optics, and wavefront sensing

Honors:

• European Adaptive Optics Summer School Scholarship, Newcastle University, 2021
• Marie Curie Ph.D. Fellowship, University of Murcia, 2018
• 3rd Best Presentation Award, 17th International Optics, Optoelectronics and Photonics Conference, Ankara, Turkey, 2015
• Graduate Fellowship, Koc University, 2013
• M.Sc. Scholarship, The Scientific and Technological Research Council of Turkey (TÜBİTAK), 2013

VISE affiliate:

Audrey Bowden, Associate Professor of Biomedical Engineering (BME) and
Dorothy J. Wingfield Phillips Chancellor Faculty Fellow

Lab:

Bowden Biomedical Optics Laboratory (BBOL)

PhD in Medical Physics
University of Wisconsin – Madison (2025)

Research Area:

Uncertainty Quantification of Deep Learning Models, Medical Imaging, Predictive Modeling, Metastatic Disease Analysis

VISE Affiliate:

Daniel Moyer, PhD
Assistant Professor, Computer Science

VISE Lab:

VINE Lab

Doctor of Medicine, New York University School of Medicine, 2021

Bachelor of Engineering, Biomedical Engineering, Stony Brook University, 2018

Research area:

Automation of extracorporeal life support (ECMO and hemorrhage resuscitation), 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

Research Area

Fellowships, grants, awards

PhD in Electrical Engineering
Clemson University, 2025

Research area:

Continuum Robots, Medical Robotics, Architectural Robotics and Silicon Photonics

Fellowships, grants, awards:

Journal Paper “Quantitative Dynamic Structural Color: Dual-Band Hyperchromatic Sensing with Mesoporous Metamaterials” was featured as the cover of the September 2024 issue of the journal ” Advanced Optical Materials”

Education:

PhD in Mechanical Engineering, Johns Hopkins University, 2025

MS in Mechanical Engineering, University of Maryland, 2019

BE in Mechanical Engineering, American University of Beirut, 2017

Research Area:

autonomous medical robotics, ultrasound-guided robotics,  image-guided interventions, modeling and simulation.

Awards

Rising Stars in Mechanical Engineering (2024)

Microsoft Future Leaders in Robotics and AI (2023)

VISE affiliate:

Jie Ying Wu
Assistant Professor, Computer Science

Lab:

Machine Automation, Perception and Learning (MAPLE) Lab

Ph.D. in Electrical and Computer Engineering, Johns Hopkins University, 2024
Thesis: “Unsupervised structural MRI harmonization by learning disentangled representations”

M.S.E. in Electrical and Computer Engineering, Johns Hopkins University, 2018
Thesis: “Quality assurance using outlier detection for cerebellar lobule segmentation”

B.S. in Instrumental Science and Technology, Jilin University, 2016

Research interests:

Awards and Honors:

• Predoctoral Intramural Research Training Award, National Institutes of Health. 2019—2023.
• Best Poster Award. Information Processing in Medical Imaging (IPMI). 2021.
• Best Poster Award. America’s Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS) Young Scientist Summit. 2023.
• Scientific Director Award. National Institute on Aging Intramural Research Program Scientific Retreat. 2020.

Education:

PhD in Computer Science
Rochester Institute of Technology, 2023
Thesis title “Unsupervised Progressive and Continual Learning of Disentangled Representations”.

Master in Electrical and Computer Engineering
University of Rochester, 2016

Bachelor in Information Engineering
South China University of Technology, 2014

Research interests:

My research interests lie in Unsupervised Representation Learning, Deep Generative Models, and Computational Biomedicine. I am currently dedicated to develop advanced techniques for diffusion-weighted MRI harmonization in MASI.

Awards:

• ICLR 2020 Spotlight talk
• ICLR 2023 Notable-top-25%

VISE Affiliate:

Bennett Landman
Chair, Department of Electrical and Computer Engineering
Professor of Electrical Engineering, Computer Engineering, and Computer Science, Chancellor Faculty Fellow

Lab:

Medical-image Analysis and Statistical Interpretation Lab (MASI)

BME

Education:

PhD in Mechanical Engineering
University at Buffalo, 2018
Bachelors and Masters
Indian Institute of Technology  (Aerospace Engineering ), 2013

Research area:

computational and systems neuroscience

VISE Affiliate:

Mikail Rubinov
Assistant Professor of Biomedical Engineering

Lab:

Rubinov Lab