Omar Khursheed
Research fellow at MATS
I study the behavior and alignment of large language models by training model organisms that demonstrate various forms of misalignment and developing training and inference-time mitigations.
I grew up in Saudi Arabia and studied computer engineering at Aligarh Muslim University in India. I completed an MS in computer science at UMass Amherst, where I worked with Mohit Iyyer and Brendan O'Connor on gender bias in narrative tropes.
From 2021 to 2025, I was an Applied Scientist on Amazon's Alexa Edge AI team, working on wakeword detection and device-directedness. During the first half of 2026, I was an Anthropic AI Safety Fellow, working with Fabien Roger on the alignment properties of helpful-only models.
Publications
- (Mis)generalization of Helpful-only Fine-tuningMohammad Omar Khursheed*, Baram Sosis*, Fabien RogerNeurIPS 2026
- Two Centuries of Sexism in British Parliament: A Computational Analysis of Women's Representation in the Hansard CorpusMohammad Omar Khursheed*, Mandira Sawkar*, Ashiqur R. KhudaBukhshEMNLP 2026 · dataset · code
- Small Footprint Slimmable Networks for Keyword SpottingZuhaib Akhtar, Mohammad Omar Khursheed, Dongsu Du, Yuzong LiuICASSP 2023
- Latency Control for Keyword SpottingChristin Jose, Joseph Wang, Grant P. Strimel, Mohammad Omar Khursheed, Yuriy Mishchenko, Brian KulisInterspeech 2022
- Tiny-CRNN: Streaming Wakeword Detection in a Low Footprint SettingMohammad Omar Khursheed, Christin Jose, Rajath Kumar, Gengshen Fu, Brian Kulis, Santosh Kumar CheekatmallaASRU 2021
- Analyzing Gender Bias within Narrative TropesDhruvil Gala*, Mohammad Omar Khursheed*, Hannah Lerner, Brendan O'Connor, Mohit IyyerNLP+CSS Workshop at EMNLP 2020 · dataset · code
Writing
- Misaligned AIs Could Use Killer Robots to Take OverLessWrong, 2026
- Practical Failure Modes in RL Training for LLMsBlog, 2026
- Analysis of Whisper-Tiny Using Sparse AutoencodersLessWrong, 2025
* Co-first author.