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Research Director, Fundamental Generative AI at NVIDIA Research
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Simon Fraser University
Ph.D., Computer Science - Machine Learning and Computer Vision
January 1, 2011 – January 1, 2014
Simon Fraser University
Master of Science, Computer Science - Machine Learning and Computer Vision
January 1, 2009 – January 1, 2011
Sharif University of Technology
Bachelor of Science, Computer Engineering - Information Technology
January 1, 2005 – January 1, 2009
NVIDIA
Research Director
March 1, 2025 – Present
San Francisco Bay Area
NVIDIA
Senior Research Manager
June 1, 2023 – March 1, 2025
San Francisco Bay Area
NVIDIA
Principal Research Scientist
February 1, 2022 – June 1, 2023
San Francisco Bay Area
NVIDIA
Senior Research Scientist
January 1, 2019 – February 1, 2022
San Francisco Bay Area
D-Wave Systems Inc.
Senior Research Scientist
December 1, 2015 – January 1, 2019
Burnaby
Simon Fraser University
University Research Associate
January 1, 2015 – December 1, 2015
Software Engineering Intern
May 1, 2014 – August 1, 2014
Mountain View, CA
Viblio
Software Engineer
November 1, 2013 – May 1, 2014
Remote
Simon Fraser University
Teaching Assistant
September 1, 2013 – December 1, 2013
BroadbandTV Corp
Research Intern
April 1, 2011 – September 1, 2011
Vancouver, Canada Area
Simon Fraser University
Research Assistant
September 1, 2009 – December 1, 2014
Simon Fraser University
Teaching Assistant
September 1, 2009 – December 1, 2009
Latent Maximum Margin Clustering
January 1, 2013 – June 1, 2013
- A novel unsupervised clustering method that handle data with latent variables. - Application on tagged video clustering. - Paper in NIPS 2013.
Cultural Fit Analysis
The candidate's background is heavily skewed towards advanced research and development in Machine Learning and AI, particularly in generative models. While this demonstrates a strong technical foundation, the target role of 'Data Analyst' might not fully leverage their deep research expertise. Their experience at NVIDIA and D-Wave Systems, along with academic roles, suggests a fit for innovation-driven, technically challenging environments. However, the direct alignment with typical data analyst responsibilities (e.g., dashboarding, reporting, specific business intelligence tools) is not explicitly demonstrated, which could indicate a potential mismatch in day-to-day operational focus.
Soft Skills & Operational Fit
The candidate's extensive experience in research leadership and academic roles suggests strong problem-solving, critical thinking, and communication skills. Their involvement in leading teams and supervising students indicates leadership potential and collaboration abilities. The detailed descriptions of research projects imply a structured and analytical approach to complex problems.