Summary
Nick Roberts is a research-focused machine learning scientist pursuing a PhD in Computer Science, combining 12 years of engineering and research experience across industry labs at Meta, Microsoft, Together AI, and AWS with advanced training from Carnegie Mellon and UC San Diego. He specializes in data-centric AutoML—studying how to pick and curate data for foundation models and automating their adaptation to niche scientific tasks like PDE solvers, protein folding, and climate modeling. His internships span both applied and foundational work, from Llama generative AI at Meta to production-focused ML at Intuit and Teradata, giving him a rare blend of research rigor and systems-level engineering. Based in London, he is motivated by democratizing ML for long-tail scientific problems and often tackles domains far from standard benchmarks, revealing an appetite for high-impact, cross-disciplinary challenges.
12 years of coding experience
3 years of employment as a software developer
Computer Science, Computer Science at Fresno City College
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Wisconsin-Madison
University of California, San Diego
Master of Science - MS Machine Learning, Master of Science - MS Machine Learning at Carnegie Mellon University