About

Career

• 2022 – 2026: Research Scientist at Electronic Arts (SEED), working on machine learning for animation and motion capture.
• Sep – Dec 2021: Research Intern at Microsoft Research UK Applied Research team.
• 2017 – 2021: PhD in Machine Learning at KTH Royal Institute of Technology, Stockholm. Thesis: Data-driven non-verbal behavior generation for humanoid robots.

Research Interests

I develop machine learning models for generating non-verbal behavior from speech and other input signals. My work spans data-driven gesture synthesis, motion capture processing, and building rigorous evaluation frameworks for generative models of human motion. I co-organize the GENEA Challenges and Workshops, establishing community benchmarks for gesture generation.

Teaching & Mentoring

During my PhD at KTH, I supervised multiple master’s theses and internships, and served as a teaching assistant in Machine Learning, Computer Vision, Deep Learning, and Multimodal Interaction courses. Several of my students went on to pursue PhDs:

• Rajmund Nagy — PhD student at KTH
• Yuan He — PhD student at Trinity College Dublin
• Hidir Yesiltepe — PhD student at Virginia Tech