👋🏽 I’m a data scientist and researcher based in Boston. My research lies at the intersection of machine learning and human-computer interaction; I enjoy using technical tools to understand and solve human problems. I have a PhD in computer science from Northeastern, where I was a recipient of an Outstanding Graduate Student award.
I currently work for Apple as a Research Scientist, focusing on Responsible AI in Apple Services—I build datasets and set up evaluations to ensure upcoming AI/ML features are safe for users.
I’ve previously worked at places like Intel, Oracle Labs and the Max Planck Institute. If you’d like to collaborate on a software or research project, please do reach out.
Selected Papers
Understanding the Interplay of Scale, Data, and Bias in Language Models: a Case Study with BERT Muhammad Ali, Swetasudha Panda, Qinlan Shen, Michael Wick, Ari Kobren. arXiv, Jul 2024.
Problematic Advertising and its Disparate Exposure on Facebook. Muhammad Ali, Angelica Goetzen, Alan Mislove, Elissa M. Redmiles, Piotr Sapiezynski. USENIX Security Symposium. Anaheim, CA, Aug 2023.
Discrimination through Optimization: How Facebook’s ad delivery can lead to skewed outcomes. Muhammad Ali, Piotr Sapiezynski, Miranda Bogen, Aleksandra Korolova, Alan Mislove, Aaron Rieke. ACM Conference on Computer Supported Cooperative Work (CSCW). Austin, TX, Nov 2019.
Service
- Program Committees:
- FAccT ‘24, ‘23, ‘22, ‘21
- IC2S2 ‘24, ‘23
- TheWebConf ‘23
- Socially Responsible Language Modelling Research (SoLaR) @ NeurIPS ‘24, ‘23
- Responsible Generative AI (ReGenAI) @ CVPR ‘24
- External Reviewing:
- CHI ‘25
- ICWSM ‘25
- NeurIPS ‘24, ‘23, ‘21 (ethics reviewer)
- ML4H ‘24, ‘23
- CSCW ‘23, ‘21, ‘20
- PETS ‘22
- Trustworthy Multi-modal Foundation Models and AI Agents (TiFA) @ ICML ‘24