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
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
The Doors with Zach Blas (2020) — commissioned by Edith-Russ-Haus für Medienkunst, Oldenburg, de Young Museum, San Fransisco, and Van Abbemuseum, Eidhoven
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 —
Ecological Dialogues
Currently in development, this movement, play, and dance workshop and work explores the interconnectedness between the self, human and non human beings, and ecosystems. Participants are invited to engage with their bodies and environments through playful, and reflective practices:
The initial version of this work-in-progress was structured in three parts:
Explore inner awareness by bringing attention to feelings we often overlook. How can we bring in these feelings in our movement, how can we embody them? Can play and movement create inner space to be present with our parts, feelings and fears?
Explore awareness and engage with the environment through these parts, and self. How can play and movement create more awareness of non human beings and elements? How might we reflect movements in nature in our own?
Strengthen our connections to each other through sharing, play, and by engaging with the collective energy, individuality within the group, and the connection between movement and emotion.
Experimenting with Hydra coding to explore how new media and coding can interact with movement and play. Integrating generative visuals with physical movement to examine how technology can reflect, distort, and enhance our understanding of the body and its connection to the environment.
