Chris
Tegho
Chris is a multidisciplinary artist, creative technologist, and machine learning engineer and their work explores the interconnections between humans, technology, and the environment. Chris is inspired by ecological systems, queer experiences of belonging, and contemporary dance, and their previous work explored the ethical, emotional, and relational dimensions of AI and technology.
In their current practice, they are interested in challenging human-centric perspectives, embracing ecological interconnections, and celebrating the multiplicity of minds, perspectives, and ecosystems through playful and exploratory methods.
In addition to their artistic practice, Chris has developed advanced machine learning solutions for organizations like Forensic Architecture, with work exhibited at the De Young Museum. They have collaborated with artists like Zach Blas on immersive installations such as Cultus (Arebyte and Secession) and Profundior (Berlin Biennale, Hamburger Bahnhof), works which examine AI religiosity and interrogate the extractive data practices underlying AI's rapidly advancing emotional intelligence.
In their practice, they use sound, movement, material, generative models, 3D modeling, and computer vision.
Chris completed a Master's in Machine Learning at the University of Cambridge in August 2017.
ml research interests video language models — few shot learning — generative models — Bayesian modeling — computer vision: video understanding, video generation, object and movement detection
other interests contemporary dance — internal family systems
residencies
Spreepark International Art Residency (2025), Berlin, Germany
Immersive Assembly Volume 4 (2024), Dreams and Echoes, Mediale, Oxford and York, UK
work in progress and experiments
Infrastructures of AI — ongoing research and visual essay exploring Big Tech’s AI dominance through improvised Global South infrastructures, accepted for presentation at the Connective (t)Issues Workshop, with Data & Society
Ecological Dialogues — ongoing research, workshop and work on movement, play and technology
Scattered Minds — short film / coded animation exploring multiplicity of the mind
contributions, artwork and commissions
When T-Rex Dreams of Mangoes and Figs with Jazmin Morris (2024) —showcase as part of the Immersive Assembly Vol. 4 and Adventures in Consciousness Season at the University of Oxford
CULTUS with Zach Blas (2023) — commissioned by Arebyte Gallery, London, UK, and Secession, Vienna, Austria
Profundior with Zach Blas (2023) — commissioned by Berlin Biennale for Contemporary Art, exhibited at Hamburger Bahnhof
576 Tears with Zach Blas (2022) — commissioned by UP Projects for “This is Public Space” series
Triple Chaser, with Forensic Architecture (2021)—exhibited at Uncanny Valley: Being human in the age of AI, at the de Young Museum in San Fransisco
Machines of Loving Grace, with DJ and producer Sonikku (2021) — music video for single release Lifestyle with Boilerroom TV
— audio reactive StyleGANs video generation
The Doors with Zach Blas (2020) — commissioned by Edith-Russ-Haus für Medienkunst, Oldenburg, de Young Museum, San Fransisco, and Van Abbemuseum, Eidhoven
MELTS INTO LOVE with Xin (2020)— album cover
CAD Conspiracy: Pattern Recognition in Contemporary Art with Mahan Moalemi and Bahar Noorizadeh (2020)— commissioned by the Mosaic Rooms, London
publications
-
D’Cruz, A.∗, Tegho, C.∗, Greaves, S.∗, & Kermode L. (2022). Detecting Tear Gas Canisters With Limited Training Data. IEEE/CVF
Winter Conference on Applications of Computer Vision (WACV).
∗equal contribution - Tegho, C., Budzianowski, P., & Gašić, M. (2018). Benchmarking Uncertainty Estimates With Deep Reinforcement Learning for Dialogue
Policy Optimisation. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
- Tegho, C., Budzianowski, P., & Gašić, M. (2017). Uncertainty Estimates for Efficient Neural Network-based Dialogue Policy Optimisation. Accepted at the Bayesian Deep Learning Workshop, 31st Conference on Neural Information Processing Systems (NeurIPS).
machine learning work
2022 - 2024
Unitary, London, UK
— Develop and deploy multimodal machine learning models and pipelines for detecting harmful content in videos, images and text
2017 - 2022
Calipsa, London, UK
— Design, implement and evaluate models and software prototypes for object detection and motion detection in videos
Chris Tegho —
