Dr. Conor Houghton

Biography

Conor Houghton is an academic at the University of Bristol, primarily situated within the School of Engineering Mathematics and Technology. His research interests span across several evolving domains, with a strong focus on Machine Learning, Bayesian statistics, and the application of computational techniques in understanding biological processes. He explores the intersection of mathematics and engineering, particularly how these domains can innovate in fields such as neuropsychopharmacology and complex systems. Houghton actively engages in interdisciplinary collaborations, as demonstrated in his work with colleagues from diverse backgrounds in healthcare and scientific research, aiming to apply advanced computational methods to real-world challenges. His recent publications include works on the efficiency of Bayesian approaches in analyzing cell count data and the exploration of sparse autoencoders in neural representation. Through his academic contributions, Houghton strives to uncover insights into how cooperation and evolutionary mechanisms can influence technology, as well as how emotions can be quantitatively analyzed through machine learning frameworks. His endeavors towards public engagement have also seen him facilitate discussions surrounding artificial intelligence's impact on creativity and societal change.

Research Interests