ETH Zurich - PhD Researcher
Zurich, Switzerland | 2022 - Present
Research in 2D/3D registration, pose estimation, differentiable rendering, optimization, fluoroscopy, and knee biomechanics.
Software development for dual-plane registration.
Jinhao Wang
Turning Medical Images into Motion
I am a PhD student at ETH Zurich exploring how AI, medical imaging, and biomechanics can reveal the hidden motion of human joints. Before Zurich, I studied Engineering at Oxford, where I learned to enjoy problems that sit between math, machines, and the human body.
Get in TouchEducation
ETH Zurich
PhD Student, Laboratory of Movement Biomechanics
2022 - Present- Member of Dr. B. Taylor's research group at ETH Zurich.
- Research interests include medical image analysis, deep learning, optimization, and movement biomechanics.
- Contributing to projects around dual-plane fluoroscopy, 3D joint motion tracking, scoliosis detection, and musculoskeletal modeling.
University of Oxford
MEng Engineering Science, Lincoln College
2018 - 2022- Graduated with a First-Class Master's degree in Engineering.
- Built a foundation across applied mathematics, mechanical engineering, electrical and electronic systems, and civil engineering.
- Shifted focus toward Biomedical Engineering and completed a Master's thesis with Distinction.
Research Experience
University of Oxford - Research Assistant (EURO Programme)
Oxford, UK | 2020
Developed a dynamic warping algorithm for temporal and spatial alignment of knee joint kinematics data.
Huazhong University of Science and Technology - Research Assistant
Wuhan, China | 2019
Investigated the geographical feasibility of solar power and biomass harvesting in China.
Publications
First-author ISBI 2026
Jinhao Wang, Raphael Surbeck, William Taylor, et al.
Automated 2D/3D Fluoroscopic Registration for Joint Kinematics Using Fluoroscopic-to-DRR Translation
First-author MICCAI, 2025
Jinhao Wang, Florian Vogl, William Taylor, et al.
Veriserum: A Dual-Plane Fluoroscopic Dataset with Knee Implant Phantoms for Deep Learning in Medical Imaging
First-author IJCARS
Jinhao Wang, Xia Li, William Taylor, et al.
Pose-aware Deep Perceptual Similarity for Iterative 2D/3D Registration of Knee Joints using Contrastive Learning
Collaborative
Yiying Zou, Jinhao Wang, M. S. Wong, et al.
The Application of Integrated Force and Temperature Sensors to Enhance Orthotic Treatment Monitoring in Adolescent Idiopathic Scoliosis: A Pilot Study
Collaborative Journal of NeuroEngineering and Rehabilitation
Zhongke Mei, Jinhao Wang, Deepak K. Ravi, et al.
Using Explainable AI to Identify Disease-Relevant and Deep Brain Stimulation Treatment-Sensitive Gait Features in Parkinson's Disease
Projects
STL-NIfTI Toolkit
A lightweight web toolkit for converting, transforming, and processing STL and NIfTI files for orthopedic and medical-imaging research workflows.
Medical Imaging STL NIfTI Orthopedics
Veriserum
An open-source dual-plane fluoroscopic dataset and learning pipeline for knee implant phantoms, designed to support deep learning research in 2D/3D registration, pose estimation, and medical imaging.
MICCAI 2025 Dataset Fluoroscopy 2D/3D Registration
2D/3D Registration Review
A curated knowledge base reviewing rigid bone 2D/3D registration methods, organized to make papers, datasets, and technical directions easier to scan.
Review Registration Medical Imaging Knowledge Base
Experience
Kairos AI
WebsiteCo-founder
Shenzhen, China, 2026- Built LLM systems with financial datasets.
- Worked on agentic engineering for moat building.
Starlight Education / Vision Academy
Oxbridge Admissions Mentor
Beijing / Shanghai, China, 2021 - 2025Supported 10+ students through Oxford and Cambridge admissions.
About Me
Hello, I am currently a PhD student in the Laboratory of Movement Biomechanics at the Institute for Biomechanics, ETH Zurich. In 2022, I graduated from the University of Oxford with a First-Class Master's degree in Engineering. I am now a member of Dr. B. Taylor's research group at ETH Zurich, where my research interests focus on medical image analysis, deep learning, and optimization. If you are interested in collaboration or exploring my work further, feel free to reach out.
