Dr. Koustuv Sinha is a Research Scientist at Meta AI Research (Fundamental AI Research team). He did his PhD from McGill University and Mila Quebec AI Institute, supervised by Dr. Joelle Pineau. His research focuses on investigating systematicity and generalisation in natural language understanding (NLU) models, especially the state-of-the-art large language models, and develop methods to alleviate generalisation issues in production. He is the lead organizer of the annual ML Reproducibility Challenge, which has had six iterations since 2018 (2018-2022). He serves as a Journal Chair at NeurIPS 2022, and also an associate editor of ReScience, a journal promoting reproducibility reports in various fields of science. He has co-organized several workshops in the past, including NILLI (2021, 2022) at EMNLP, and ML Retrospectives at NeurIPS 2019.