معرفی
Siddharth Narayanaswamy is an Associate Professor (Reader) in Explainable AI at the University of Edinburgh's School of Informatics. He holds a part-time Senior Research Fellow role at The Alan Turing Institute and is a Visiting Fellow at the University of Oxford’s Department of Engineering Science. His research bridges machine learning, computer vision, natural language processing, cognitive science, robotics, and neuroscience, focusing on unsupervised learning of structured representations and human-AI interaction.
Education: PhD in Electrical and Computer Engineering from Purdue University. Previously, he was a Senior Researcher at the University of Oxford and a Postdoctoral Scholar at Stanford University’s Computation and Cognition Lab.
Research Interests: Explainable AI, Human-Like Learning, Unsupervised Representation Learning, Probabilistic Programming, and applications to global health decisions via Simulation-Based Inference. Key projects include DGPose (human body analysis) and neuro-symbolic generative models.
Publications highlight contributions to generative models, variational autoencoders, and interpretable AI systems. He collaborates with the Torr Vision Group and ELLIS Society. Supervision: Open to motivated PhD/MSc students exploring structured representations and probabilistic inference in AI.
Labs/Teams: Member of the Torr Vision Group and ELLIS Scholar Network. Active in interdisciplinary collaborations across robotics, cognitive science, and healthcare AI.
