Scholar
Natasha Jaques
Google Scholar ID: 8iCb2TwAAAAJ
University of Washington, Google Research
Citations & Impact
Citations
5,929
H-index
29
i10-index
40
Publications
20
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- 2023 Best Paper, AAAI Workshop on Representation Learning for Responsible Human-Centric AI
- 2021 Outstanding PhD Dissertation Award, Association for the Advancement of Affective Computing
- 2021 Best of Collection, IEEE Transactions on Affective Computing (impact factor: 10.5)
- 2020 Best Paper, NeurIPS Workshop on Cooperative AI
- 2019 Honorable Mention for Best Paper, ICML
- 2019 Rising Stars in EECS Pitch Competition Winner
- 2019 Best Paper Nominee, NeurIPS Workshop on Conversational AI
- 2017 Centennial Alumni of Distinction, Campion College
- 2016 Best Paper, NeurIPS Workshop on ML for Healthcare
- 2016 Best Demo, NeurIPS
- Work featured in Science, MIT Technology Review, IEEE Spectrum, Quartz, National Geographic, Boston Magazine, CBC radio, and more
Research Experience
- During PhD at MIT, developed RL-based language model fine-tuning and human feedback learning techniques later built upon by OpenAI’s RLHF work
- Developed methods for improving multi-agent coordination through optimization of social influence
- Interned at DeepMind and Google Brain; served as OpenAI Scholars Mentor
- Visiting Postdoctoral Scholar in Sergey Levine’s group at UC Berkeley
- As Senior Research Scientist at Google Brain, built adversarial environment generation methods to enhance RL agent robustness
