About Me
From Belgium to the Netherlands to Montreal to Utah — currently leveraging deep learning and computer vision to understand movement and improve health.
My Journey
I received my BS in data science, knowledge engineering, and AI from Maastricht University in the Netherlands, then completed my MS in machine learning at the University of Montreal and the Montreal Institute of Learning Algorithms (MILA), founded by Yoshua Bengio. During my master's, I focused on applied computer vision to solve real-life problems in areas like autonomous driving and sports science.
Now, as a PhD student in the Movement Bioengineering Laboratory at the University of Utah, I work on cutting-edge research in biomechanics and human movement analysis. My work leverages deep learning and computer vision to democratize access to biomechanics—turning complex movement data into insights that can improve people's health.
Outside of research, I enjoy staying active, participating in sport events, and exploring the outdoors.
Education
From data science and AI in Maastricht to machine learning at MILA, and now biomechanics research at Utah.
Research Focus
My research focuses on developing advanced computational tools to analyze and enhance human movement, particularly in athletic and clinical contexts. I integrate machine learning, computer vision, and biomechanical modeling to create scalable solutions for understanding movement patterns and improving people's health. For example, I am currently contributing to projects that use video-based motion capture to assess movement mechanics.
By bridging the gap between theoretical deep learning models and practical applications, my work aims to make high-quality biomechanical analysis accessible to a broader audience, both in research and real-world settings.
Biomechanics Research
Exploring human movement patterns and their applications in health and performance.
Motion Capture
Developing cutting-edge techniques for capturing and analyzing human motion.
AI & 3D Tools
Building innovative applications that merge AI with 3D sensing technology.
Creative Problem Solving
Finding elegant solutions to complex challenges through curiosity and experimentation.
Featured Projects
Each project represents a journey of curiosity, innovation, and the relentless pursuit of solutions that matter.
Musculoskeletal forces from smartphone video. Open-source software developed at Stanford University for computing skeletal motion and musculoskeletal forces from smartphone videos.
Built the first clinically available ML-powered monocular pipeline for biomechanics (OpenCap-Monocular), enabling accurate patient diagnosis from a single phone camera and improving healthcare accessibility. Open-source research project for monocular motion capture.
iOS/Android mobile app utilizing computer vision to measure jump height from the camera. Rapidly prototyped and iterated on app features based on user feedback.
Open-source biomechanics visualization web app for 3D motion analysis.
Professional website for PG Brush.
Website for Sila Bikes.
What I Offer
Combining technical expertise in AI, computer vision, and software development with deep domain knowledge in biomechanics—I help bring your ideas to life.
Website & Web Apps
Custom websites and interactive web applications built with modern frameworks. From portfolio sites to data-rich dashboards and real-time visualizations.
Mobile Apps
Native and cross-platform mobile applications for iOS and Android. User-centered design with smooth performance for your target audience.
ML & AI Tools
Machine learning solutions tailored to your domain. From computer vision and deep learning to model deployment—bringing research-grade AI into production.
Data & Analytics
Turn raw data into actionable insights. Custom pipelines, dashboards, and analytics solutions for research, sports science, or industrial applications.
Curriculum Vitae
A journey through AI engineering, research, and innovation in biomechanics
Let's Connect
Have a project in mind? Whether you need a website, a web or mobile app, or ML expertise—I'd love to hear about it. Let's discuss how we can work together.
Get in Touch
Whether you're interested in collaboration, have questions about my research, or just want to connect, I'd love to hear from you. I typically respond within 24 hours.
GitHub
github.com/SeeeeeyoLocation
University of Utah, Salt Lake City
Coffee Chat?
If you're ever in the area or want to schedule a virtual coffee chat to discuss research ideas, I'm always up for a good conversation!