I am a multidisciplinary artist, and machine learning engineer from Lebanon and the UK.
I work with movement, code, 3D modeling, and material, and I am interested in raw emotion and play. I explore how technology shapes identity and perception, and 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 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.
I completed a Master's in Machine Learning at the University of Cambridge in August 2017.
art residencies
Rupert Alternative Education Program (2025), Vilnius, Lithuania
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
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
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 — humanistic councelling
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 —
When T-Rex Dreams of Mangoes and Figs with Jazmin Morris
commissioned by Mediale, and exhibited at - Tyneside Cinema (Newcastle) with VideoCity UK - Kongsi 8 (Jakarta) with Forum Sudutpandang
- Marlah! Hub (Palu) with Forum Sudutpandang - Modal Gallery (SODA, Manchester) - Mozilla Festival 2025 (Barcelona) - Peckham Digital (London) - Imagined Worlds at Lewisham Library (London)
- Adventures in Consciousness (University of Oxford).
Inspired by the Google Chrome Dino game that appears only when internet connection is interrupted, this immersive installation explores where consciousness wanders when the machine is in ‘load state’ and creates an opportunity for dreams, imagination and creativity in a subtle protest against technologies grasp on our experiences.
This project reinterprets digital extraction and echoes by critically engaging with the hidden infrastructures that shape online experiences, particularly those of waiting, loading, and digital liminality. Every online interaction, including moments of waiting, is connected to physical landscapes where resources are extracted. The project uses the loading state to expose hidden connections, with a sensory experience where glitching visuals and fragmented movements mirror the instability of digital access.
It focuses on the unequal distribution of internet access, particularly in regions affected by the extractive economies of digital industries. While some experience high-speed connections, others are routinely disconnected, left in liminal states of waiting. The presence of mangos and figs challenges the dominance of Western-centric digital environments. These fruits, which thrive in tropical and sub-tropical regions, also serve as subtle references to the extractive histories tied to colonial agriculture mirroring the ways in which data and resources are unevenly extracted.
