Named IEEE Rising Star in Signal Processing in 2023.
Awarded Fred Jelinek Fellowship at Johns Hopkins for 2023–24.
Recipient of inaugural JHU-Amazon AI2AI Fellowship for 2022–23.
Multiple papers accepted at top-tier conferences, including:
- 2025: 3 papers at IEEE ICASSP 2025 on SpeechLLMs and multi-channel speech foundation models; a new paper on reasoning in SpeechLLMs from Ian Shih’s internship.
- 2023: GSS paper accepted at InterSpeech 2023 (used in CHiME-7 DASR challenge baseline); 2 papers at IEEE ICASSP 2023.
- 2022: 2 papers at IEEE ICASSP 2022 on multi-talker ASR with neural transducers and fine-tuning large self-supervised models.
- 2021: 4 papers at INTERSPEECH 2021; JHU-GoVivace team placed 2nd overall (1st in Hindi-English task) in Indic code-switching challenge; Hitachi-JHU team achieved 2nd best DER in Third Dihard Challenge.
- 2020: 4 papers accepted at IEEE SLT 2021; JHU submission ranked second-best in CHiME-6 Track 2 (diarization + ASR).
Research Experience
Joined Meta (NYC) as a Research Scientist in January 2024, working on robust on-device ASR in the AI Speech & EMG team led by Mike Seltzer.
Since July 2024, the AI Speech team has been part of GenAI, tasked with developing speech for LLaMA models.
Interned at Meta AI (Menlo Park) Speech team in summer 2022.
Interned virtually at Microsoft with Dr. Jinyu Li in summer 2021.
Participated in JSALT 2020 and JSALT 2023 summer workshops, working on informed target-speaker ASR and WFST+end-to-end speech methods, respectively.
Participated in the Mini SCALE workshop (January 2022) in the 'Improving speech analytics for room audio' team led by Matthew Wiesner.