Siva Reddy

Siva Reddy is an Assistant Professor in the School of Computer Science and Linguistics at McGill University. His research interests include Natural Language Processing, Machine Learning, and Computational Linguistics. He is a Canada CIFAR AI Chair and a core faculty member of Mila Quebec AI Institute. Additionally, he is a research scientist at ServiceNow Research and co-leads the McGill NLP Group. Reddy previously served as a postdoctoral researcher at Stanford University and a Google PhD fellow at the University of Edinburgh. He is affiliated with the Department of Linguistics at McGill University and is actively involved in academic leadership roles, including service area chair for ICML 2026 and action editor for TACL Journal.

Siva Reddy is a researcher at McGill University and the Mila Quebec AI Institute, specializing in Natural Language Processing, Machine Learning, and Deep Learning. His work focuses on understanding and improving the capabilities of language models, including their ability to generalize, avoid bias, and follow instructions. Reddy's research includes evaluating the impact of positional encoding on length generalization, analyzing stereotypical bias in pretrained models, and developing frameworks for post-hoc interpretability in neural NLP. He has also contributed to conversational question answering, semantic parsing, and multi-document reading comprehension. His publications highlight the importance of empirical studies in assessing model behavior and enhancing the reliability of AI systems.