News & Accolades
2026
- Co-organizing TrustNLP @ ACL'26, continuing the workshop series on trustworthy NLP.
- Presented Amazon's work on Frontier Safety in AI at IIT Bombay and IIIT Delhi as part of the India AI Summit. Amazon signed the "Frontier AI Commitments" at the Summit; my team is responsible for building the technical foundation for Amazon's AI offerings under these commitments.
- Amazon Science article featuring my team's work: Building trust into AI.
- Amazon Science blog: How catastrophic is your LLM?
- Red Hat blog: AI trust through open collaboration: A new chapter for responsible innovation.
- Organized the Trusted AI Symposium 2026 in New York City, an invitation-only event bringing together academic and industry researchers on AI safety and governance.
2025
- Winner of the Agent X competition (2025).
- Co-organized the SemEval Unlearning Challenge at ACL.
- My team leads the Nova AI Challenge, supporting 10 universities annually on safety research.
- Represented Amazon at the Frontier Model Forum and Partnership on AI.
- Papers in NeurIPS: VMDT, Agentic Benchmarks, LLM Unlearning (workshop).
- Papers in NAACL: Localizing and Deleting Toxic Memories in LLMs (Findings).
- Papers in ICLR: Quantitative Certification of Bias in LLMs.
- Papers in AAAI: MUNCH, K-Edit (Preventing and Detecting LLM Misinformation workshop).
2024
- Papers in EMNLP: FLIRT, Attribute Controlled Fine-tuning, Data Advisor, Self-contradictory Reasoning (Findings).
- Papers in ACL: Tree-of-Traversals.
- Papers in NAACL: Slang in LLMs, LLM Steerability, Pronoun Tokenization Parity (Findings), MICo (Findings), BELIEVE (TrustNLP workshop), Debiasing Image Captioning (TrustNLP workshop).
- Papers in NeurIPS: LLM-PIEval (AdvML Frontiers workshop).
- Papers in ICASSP: Partial Federated Learning (Trustworthy Speech Processing workshop).
2023
- Invited panelist at AI For Open Society @ KDD'23.
- Papers in EMNLP: Controlled Generation Evaluation, Faithful Model Evaluation, INVITE (Findings), Coordinated Replay for Continual FL (Industry Track).
- Papers in ACL: Resolving Ambiguities in Text-to-Image.
- Papers in NeurIPS: JAB (Socially Responsible LM Research workshop).
- Papers in KDD: FedMultimodal.
- Papers in ACM FAccT: Centering Trans & Non-Binary Voices.
- Papers in ICASSP: Self-healing via Error Detection, Catastrophic Forgetting in Continual FL.
- Papers in ICDM: Fairness in Large Scale NLU (Industry Day), Privacy in the Time of LMs (Industry Day).
- Papers in Interspeech: Sampling Bias in NLU Models.
- Papers in IEEE SLT: Decoding Algorithms and Fairness.
- Papers in CIKM: LLM Steerability toward Personas (Personalized Generative AI workshop).
2022
- Invited speaker at FL4NLP @ ACL'22.
- Papers in ACL: Canary Extraction in NLU, Fairness via Prediction Sensitivity, Intrinsic & Extrinsic Fairness Metrics, Multi-VALUE, Gender Bias via Counterfactual Role Reversal (Findings), DP Decoding in LLMs (TrustNLP workshop).
- Papers in NAACL: FL with Noisy User Feedback, Mixed-Domain Translation via FL, FedNLP (Findings), Controlled Data Generation for NLU (Industry Track).
- Papers in AACL: Chasing the Tail with Domain Generalization.
- Papers in ICASSP: Advin, Learnings from FL in the Real World, Efficient DP-SGD for NLU.
- Papers in EMNLP: Model Interpretation for Conversational Assistants (Industry Track).
2020 and Older
- Best PhD Thesis Pitch Award at USC (2016).
- IEEE Signal Processing Society travel award to ICASSP 2016.
- Winner of the Interspeech Paralinguistics Challenge (2015) — second consecutive win.
- Phi Beta Kappa Alumni in Southern California Scholarship (2015).
- Winner of the Interspeech Paralinguistics Challenge (2013).
- Provost Fellowship at USC (2010–2014).
- Info-USA Exchange Scholarship (2009).