Published in top-tier conferences including NeurIPS, ICLR, IJCAI, CHI, FAccT, AIES, USENIX, and PoPETs
Multiple award-winning papers, including at NeurIPS and CHI
Work featured in Scientific American, WIRED, and VentureBeat
Notable papers include 'LiveBench: A Challenging, Contamination-Free LLM Benchmark' and 'Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition' (NeurIPS 2023 Oral)
PhD thesis (2023): 'Expanding Robustness in Responsible AI for Novel Bias Mitigation'