Where do artificial intelligence, sports analytics, and experimental design intersect? Join Assistant Professor Bijan Mazaheri to learn about the innovative work coming from Dartmouth’s Thayer School of Engineering and Mazaheri’s CEDAR Lab. A competitive distance runner himself, Professor Mazaheri’s research explores experimental design, causality, and AI across sports analytics, defense, and biology.
This event is free and registration is not required.
Professor Bijan Mazaheri focuses on issues that arise when synthesizing information from multiple datasets, modalities, and batches into machine learning and AI models. He uses tools from theoretical computer science and statistics—including sample complexity, mixture models, and causal inference—to answer questions such as: How can we integrate causal knowledge into statistical models? How can we effectively navigate tradeoffs between data diversity and causality? How can we detect AI-generated or adversarially manipulated data? And, how can we quantify human performance in highly variable environments? Bijan's work is inspired by applications in information security, biology, and human health. He is also an internationally-competitive distance runner and enjoys applying his research to sports analytics.
