Research Director, Fundamental Generative AI at NVIDIA Research
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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.