Summary
Sunil Mucesh is a Machine Learning Scientist with eight years' experience bridging academic rigor and product-focused ML, currently applied at Tripadvisor. He holds a PhD in Astrophysics and Machine Learning from UCL and has a track record of research-to-production work, from developing VAEMs for mixed-type generative modeling at Faculty to deploying classification and causal-inference analyses that informed content and subscription strategy at The Economist. Sunil’s strengths are causal inference, uncertainty quantification, and adapting probabilistic models (notably VAEs) to real-world, heterogeneous datasets, improving performance and integration into internal ML libraries. Comfortable moving between research and engineering, he also has domain experience in remote sensing and anomaly detection from an Earth observation internship, reflecting a knack for extracting signals from noisy, high-dimensional data. Based in Stony Stratford, UK, he combines deep technical depth with practical deployment experience across industry and academia.
7 years of coding experience
1 year of employment as a software developer
Villiers High School
University College London
Uxbridge College
Regent College
Physics with Astrophysics MPhys, Physics, First Class Honours, Physics with Astrophysics MPhys, Physics, First Class Honours at University of Leicester
English, Japanese, Hindi, Gujarati