Stata (32) D678
olawale[at]mit[dot]edu
Postdoctoral Associate
Laboratory for Information and Decision Systems
Schwarzman College of Computing
Massachusetts Institute of Technology
Postdoctoral Scholar
Eric and Wendy Schmidt Center at the Broad Institute of MIT and Harvard
Research Interest
I am broadly interested in the principles and practices of reliable and trustworthy AI for social and societal good. I primarily study questions about the robustness of artificial intelligence (AI) for real-world decision-making. My prior work has focused on improving AI robustness under distribution shift (generalization, adaptation, and evaluation) and our general understanding of effective AI/ML evaluation practices. Some relevant application areas are biological imaging, algorithmic fairness, healthcare, and AI policy.
Selected Recent News
Winter 2025. I am co-organizing the new AI for Society seminar at MIT.
Winter 2025. Our paper titled "What’s in a Query: Examining Distribution-based Amortized Fair Ranking" will appear at the International World Wide Web Conference (WWW), 2025.
Winter 2025. I was selected as an NYU Tandon Faculty First-Look Fellow; I look forward to visiting and giving a talk at NYU in February; news!
Winter 2025. I am co-organizing the 30th Annual Sanjoy K. Mitter LIDS Student Conference at MIT.
Winter 2025. I was selected as a Georgia Tech FOCUS Fellow; I look forward to visiting and giving a talk at Georgia Tech in January!
Fall 2024. Our paper titled “On Domain Generalization Datasets as Proxy Benchmarks for Causal Representation Learning” will appear at the Neurips 2024 workshop on causal reprsentation learning as an Oral Presentation.
Fall 2024. I joined the Healthy ML Lab, led by Professor Marzyeh Ghassemi, at MIT as a postdoctoral associate!
Summer 2024. I successfully defended my PhD dissertation titled “Towards External Valid Machine Learning: A Spurious Correlations Perspective”!
Spring 2024. I gave a talk on AI for critical systems at the MobiliT.AI forum (May 28-29)!
Spring 2024. I gave a talk at UIUC Machine Learning Seminar on the external validity of ImageNet; artifacts here!
Spring 2024. Recent paper demonstrating the external validity of ImageNet model/architecture rankings – ImageNot: A contrast with ImageNet preserves model ranking – is now available on arXiv!
Winter 2024. Two papers on machine learning under distribution shift will appear at AISTATS 2024 (see Publications)!
Winter 2024. I have returned to Stanford from MPI!
Selected Papers
See Publications for more.
On Domain Generalization Datasets as Proxy Benchmarks for Causal Representation Learning (Oral Presentation) 📄
Olawale Salaudeen, Nicole Chiou, Sanmi Koyejo
Workshop on Causal Representation Learning, Conference on Neural Information Processing Systems (NeurIPS), 2024
Olawale Salaudeen, Moritz Hardt
In Review
Olawale Salaudeen, Oluwasanmi Koyejo
The International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Katherine Tsai, Stephen R. Pfohl, Olawale Salaudeen, Nicole Chiou, Matt J. Kusner, Alexander D'Amour, Sanmi Koyejo, Arthur Gretton
The International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
I am very happy to discuss new research directions; please reach out if there is shared interest!
Mentorship
I am happy to mentor students with overlapping research interests. Particularly for undergrads at MIT, programs like UROP are a great mechanism for mentorship.
More generally, I am very happy and available to give advice and feedback on applying to and navigating both undergraduate and graduate programs in computer science and related disciplines – especially for those to whom this type of feedback and guidance would be otherwise unavailable.
