Christopher Tegho

Christopher Tegho is a machine learning engineer with a focus on computer vision, language modeling, and generative models.14 He worked at Calipsa in London, UK, where he designed, implemented, and evaluated models and software prototypes for object detection and motion detection in videos.1

Tegho completed a Master's in Machine Learning at the University of Cambridge in August 2017.12 His research interests include video language models, few-shot learning, generative models, Bayesian modeling, and computer vision, particularly in video understanding, video generation, and object and movement detection.1

Beyond his technical work, Tegho is interested in the intersection of art and machine learning, focusing on themes such as multiplicity, relations to others, queerness, and movement.1 He has collaborated on several artistic projects, including:

1. "Cultus" with artist Zach Blas, commissioned by Arebyte Gallery and Secession1
2. "Profundior" for the Berlin Biennale for Contemporary Art1
3. "576 Tears" for UP Projects' "This is Public Space" series1

Tegho has also contributed to human rights investigations, developing a few-shot gas canister detector for Forensic Architecture.13 This project was exhibited at the "Uncanny Valley: Being human in the age of AI" exhibition at the de Young Museum in San Francisco.3

Currently, Tegho works at Unitary in London, where he develops and deploys multimodal machine learning models and pipelines for detecting harmful content in videos, images, and text.1