CV

You can download my CV in PDF

Education

• Ph.D in Computer Science, University of California Davis, 2022
• B.S. in Computer Science, New York University, 2017
• B.S. in Finance, New York University, 2017

Research Experience

• Google Brain
  • Research Scientist. Aug. 2022 - present
• Google Brain
  • Research Intern. June 2021 - Apr. 2022
  • Working on dialog research (including schema induction for task-oriented dialog and knowledge-grounded understanding).
• Google AI
  • Research Intern. June 2020 - Sept. 2020
  • Working on few-shot metric-based representation learning in dialog systems.
  • Supervisors: Luheng He and Yuan Zhang
• 2019 Amazon Alexa Prize Challenge
  • Research Lead. June 2019 - June 2020
  • Improved the NLU pipeline for better understanding ability and implemented knowledge-grounded neural generation model. Resulted in the highest average user rating.
• Uber AI
  • Research Scientist Intern. June 2019 - Sept. 2019.
  • Working on semantic understanding in embodid environments.
  • Supervisors: Chandra Khatri, Alexandros Papangelis, and Gokhan Tur.
• 2018 Amazon Alexa Prize Challenge
  • Team Lead. Feb. 2018 - Nov. 2018
  • Led the UC Davis team of 12 people. Designed and implemented the entire NLU pipeline. Developed retrieval method for NLG. Improved average user rating by 19%. Results in geting the 1st place.

Service

Reviewer ACL 20-21’ (outstanding reviewer), ACL Rowling Review (ARR), EMNLP 20-21’, AAAI 20’, NeurlPS 20’, COLING 20’, NAACL 19-21’