news

Feb 22, 2025 Travelling to Barbados for the 4th Bellairs workshop on causality.
Dec 08, 2024 Invited talk at the NeurIPS 2024 workshop on Causality and Large Models [Slides].
Jul 24, 2024 Awarded the NASSCOM AI Gamechangers Award 2023-24 [Details][Paper].
Jul 24, 2024 Nominated as Action Editor for Transactions on Machine Learning Research (TMLR).
Sep 14, 2023 Keynote speaker at the AI, Causality and Medicine Symposium (AICPM 2023) organized by Leibniz AI Lab, Germany [Talk].
Jun 08, 2023 My work on causal reasoning and large language models featured on the Microsoft Research AI Frontiers podcast [Apple Podcasts][Spotify].
May 05, 2023 Notable Top-25% paper at ICLR 2023, International Conference on Learning Representations, for providing ”a new understanding of the out-of-distribution generalization problem” [Paper][CACM Algorithm Code].
Dec 06, 2022 Invited talk at the Causal Methods in Environmental Science workshop at University of Cambridge, UK [Slides].
Jul 25, 2022 Talk on necessity of causal inference for out-of-distribution generalization in prediction and decision-making at the Technion, Israel. [Slides]
Jul 23, 2022 Best Paper Award at the 2022 ICML Workshop on Human-Machine Collaboration and Teaming for providing a causal understanding of machine explanations [Paper][Video].
May 31, 2022 DoWhy library for causal inference evolves to an independent py-why org to foster wider collaboration. Contributions welcome! [Blog][Github][Arxiv]
Mar 17, 2022 DoWhy featured on the Data Exchange podcast [Apple Podcasts][Spotify].
Jan 15, 2022 MindNotes app released! A big thank you to Dr. Seema Mehrotra and Prof. TK Srikanth for the collaboration. [Download from Play Store- Mindnotes from NIMHANS]
Dec 02, 2021 Talk on Causal Inference for Machine Learning: Generalization, Explanation and Fairness; at the UK Office for National Statistics. [Slides]
Jul 23, 2021 Best Paper Award at ACM CHI 2021, Conference on Human Factors in Computing Systems [Paper][Microsoft Research Blog].
Apr 06, 2021 Keynote Speaker at the 5th annual Data Science in Finance conference, New York [Talk].
Dec 03, 2020 Emre and I gave a Microsoft Research webinar on causal inference and its implications for machine learning. [Video]
Aug 13, 2020 Featured on the Humans of AI podcast. [Apple Podcasts][Spotify]
Jul 23, 2020 Session on causal machine learning with Elias Bareinboim, Susan Athey, and Cheng Zhang. [Video]
May 30, 2019 DiCE: Using counterfactual examples to explain machine learning. [Paper][Python Library][Blog]
Aug 19, 2018 Emre and I gave a tutorial on causal inference at KDD. [Slides]