CV

In PDF Format

Education

• Ph.D. in Computer Science, University of California, Berkeley, 2019
  • Evaluation of Methods for Data-Driven Tools that Empower Mental Health Professionals
• B.Sc. Mathematics, McGill University, 2009

Work experience

• 2019-2021: Postdoc
  • UC Davis, Computer Science
  • Focus: NLP, dialogue systems
  • Supervisor: Zhou Yu
• 2012-2019: Graduate Student Researcher
  • UC Berkeley, EECS
  • Focus: machine learning for mental health applications
  • Advisors: Ben Recht and Jim Demmel
• 2016-2018: Data Science Fellow
  • Berkeley Institute for Data Science, UC Berkeley, EECS
  • Fellowship for two years of graduate research in interdisciplinary environment
• 2015-2016: Data Science Intern
  • Twitter
  • Business Insights Team
  • Focus: clustering hashtags into communities and evaluating engagement
• 2010-2012: Computer Systems Engineer
  • Lawrence Berkeley National Laboratory
  • Focus: using and evaluating ML methods for mental health applications.
  • Advisors: Ben Recht and Jim Demmel
• 2009: Research Assistant
  • McGill University
  • Focus: state-dependent delay differential equations
  • Advisors: Tony Humphries

Publications

Please see my Google Scholar profile until I format my publications for this site.

Teaching

CS 281: Statistical Learning Theory

CS 267: Applications of Parallel Computing

Fung Fellowship for Wellness and Technology Innovations

Service and leadership

• Please reference my CV.

Skills

• Python
  • pandas, matplotlib, numpy, statsmodels, scikit-learn, flask, jupyter, pytorch, seaborn, parlai, huggingface/transformers, rpy2
• SQL
• Bash, Git & GitHub, AWS, MTurk, HTML