Teodora Vuković

Building AI that understands the whole human.

I am a scientist, technology leader, and founder working at the intersection of multimodal AI and human science. I build models, datasets, and research platforms that connect video, speech, language, movement, physiology, and subjective experience.

Multimodal AI Human Behaviour & Experience Research Infrastructure Scientist-Founder

My flagship venture

MOSAIC

Multimodal AI models, data, and technology for understanding human behaviour, physiology, and experience.

Portrait of Teodora Vuković

About

I work across computational linguistics, computer vision, speech technology, physiology, behavioural science, and research infrastructure. My work brings these perspectives together through shared models, interoperable technology, and interdisciplinary research programmes.

At the University of Zurich, I lead multimodal technology research. Alongside my academic work, I am developing MOSAIC to translate advances in multimodal AI into technology for research, healthcare, and industry.

I combine scientific leadership with product development, partnership building, grant acquisition, and the coordination of interdisciplinary technical teams.

Flagship venture

MOSAIC

Multimodal AI for human understanding

People speak, move, react and experience simultaneously, yet these signals are usually analysed separately. MOSAIC brings them together.

Models

Human behaviour, physiology and health-related states

Models that interpret video, speech, language, movement, and physiological signals together.

Platform

An AI scientist for multimodal human data

Synchronise recordings, automate annotation, run integrated analyses, and produce reproducible results.

Dataset

Behaviour, brain, body and subjective experience

A pioneering dataset connecting observable signals with people’s own accounts of what they experienced.

MOSAIC began with support from the Innosuisse Innovation Booster on Artificial Intelligence.

University of Zurich Innosuisse data innovation alliance optohive CSEM

Selected publications

Research across modalities and disciplines.

My research spans multimodal person understanding, audiovisual and speech analysis, research infrastructure, corpus linguistics, and multimodal AI.

2026

Micro-Expression-Aware Avatar Fingerprinting via Inter-Frame Feature Differencing

Masoumeh Chapariniya, Jean-Marc Odobez, Volker Dellwo, Teodora Vuković

Proceedings of FG2026, IEEE Biometrics

2025

Beyond Appearance: Transformer-based Person Identification from Conversational Dynamics 2nd Best Paper

Masoumeh Chapariniya, Teodora Vuković, Sarah Ebling, Volker Dellwo

15th International Conference on Computer and Knowledge Engineering (ICCKE 2025), IEEE

2025

LiRI Corpus Platform: Demonstration of a Web-Based Infrastructure for Multimodal Corpus Analysis

Teodora Vuković, Jeremy Zehr, Jonathan Schaber, Johannes Graën, Igor Mustač, Daniel McDonald, Nikolina Rajović, Noah Bubenhofer

Interspeech 2025

2026

Towards Language-Independent Face-Voice Association with Multimodal Foundation Models

Aref Farhadipour, Teodora Vuković, Volker Dellwo

FAME 2026 Challenge, ICASSP 2026

2026

TidyVoice 2026 Challenge Evaluation Plan

Aref Farhadipour, Jan Marquenie, Srikanth Madikeri, Teodora Vuković, Volker Dellwo, Kathy Reid, Francis M. Tyers, Ingo Siegert, Eleanor Chodroff

Interspeech 2026

Consciousness & contemplative science

I am deeply curious about human experience.

My interest in human understanding extends to consciousness, contemplative science, and first-person experience. I teach meditation and collaborate on research connecting subjective reports with language, behaviour, and neurophysiological signals.

Work With Me

Interested in collaboration or consulting? Let’s connect.