Canada CIFAR AI Chair

Hila Gonen

Academic Affiliations

Assistant Professor at University of British Columbia

Focus

Natural Language Processing, Machine Learning, Language Models

Unlocking Model Behavior, Safety, and Multilingualism in AI

Hila is an Assistant Professor at University of British Columbia, working on Natural Language Processing.

In her research, Hila is working towards three main goals:

1) Control and interpretation of models: understanding model behavior and controlling model generation

2) Reliability, safety and fairness: making models more consistent and safe, and mitigating biases and risks

3) Multilinguality: creating NLP tools that equitably serve speakers of as many languages as possible, as well as understanding the emergent property of cross-linguality in models.

Before joining UBC, she was a postdoctoral researcher at the UW, Meta AI and Amazon, and earned her Ph.D in Computer Science at Bar-Ilan University.

Awards and Recognition

  • EECS Rising Stars Award

  • Google Academic Research Award

  • Multiple prestigious postdoctoral awards

Best Paper Awards

  • CoNLL (2019)

  • RepL4NLP Workshop (2022)