I work with movement, contact, contemporary dance, and material, and I am interested in raw emotion and play. I use play to connect, experiment and expand our perspectives. My practice is driven by questions of queer belonging and a need to build ecosystems that hold multiplicity and difference. I also work with technology and explore how it shapes identity and perception.
I have collaborated on immersive installations with numerous artists, Jazmin Morris on TRex Dreams of Mangoes and Figs, exploring technological access, waiting in digital spaces, and consciousness; and Zach Blas on installations such as Cultus (Arebyte, Secession), Profundior (Berlin Biennale), and The Doors (Edith-Russ-Haus für Medienkunst, De Young Museum, Van Abbemuseum). These works examine consciousness expansion, human/machine relations, and AI religiosity, interrogating the extractive data practices underlying AI's rapidly advancing emotional intelligence.
I am co-founder of Disruptive Nostalgia, a collective which sets out to reimagine and challenge the narratives of architecture, landscape, and cultural memory informed by intersectional politics. The collective is currently resident at Spreepark in Berlin where they explore how memory, color, and play shape our understanding of place and connection to each other and nature.
art residencies
Halaqat (2026), Beirut, Lebanon
Rupert Alternative Education Program (2025), Vilnius, Lithuania
When T-Rex Dreams of Mangoes and Figs with Jazmin Morris (2024) — commissioned by Mediale, and exhibited with Videocity UK at Tyneside Cinema (Newcastle), with Forum Sudutpandang at Kongsi 8 (Jakarta) and Marlah! Hub (Palu), at Modal Gallery (SODA, Manchester), Mozilla Festival 2025 (Barcelona), Peckham Digital (London), Imagined Worlds at Lewisham Library (London), and Adventures in Consciousness (University of Oxford)
Infrastructures of AI (2025) — accepted for presentation at the Connective (t)Issues Workshop, with Data & Society and The Politics of AI: Governance, Resistance, Alternatives with Sustainable AI Futures (Goldsmith University)
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
The Doors with Zach Blas (2020) — commissioned by Edith-Russ-Haus für Medienkunst, Oldenburg, de Young Museum, San Fransisco, and Van Abbemuseum, Eidhoven
Scattered Minds — short film / coded animation exploring multiplicity of the mind
How Do I Dance? / Where Do I Go? (2025) — new media art installation with animated archeological relics, part of the Onland Loop Art Critique 17th Public Activation
Ecological Dialogues — ongoing research, workshop and collective choreography on movement, play and technology
publications
Lee, Angela Ka Ki, and Chris Tegho. “Spatial Choreography of Grounded Computation.” un Magazine, no. 20.1, Stones & Circuits: Art, AI, and the More-Than-Human Commons, 2026.
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).
Developped a few shot detector for detecting tear-gas canisters in videos, for assisting human rights investigations Human rights investigations often require triaging large volumes of open source data in order to find moments within image, audio, or video that are relevant to a given investigation and warrant further inspection. Searching for images of tear gas online manually is laborious and time-consuming. This allows to automate discovery, identification, and archiving, which is hugely beneficial to human rights monitors. This project highlights how ML can be used for real-world applications, and how recent advances in ML can be leveraged for the greater good.
