Researcher in Computer Vision, Assistant Professor at Harvey Mudd College
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a researcher in computer vision. My specialties include attentional modelling and saliency modelling. I have experience with computational modelling, machine learning, psychophysical experiments (including eye tracking), and dataset design.
York University
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2012 – January 1, 2019
York University
Masters of Science, Computer Science
January 1, 2010 – January 1, 2012
University of Toronto - University College
Honours Bachelor of Science, Computational Neuroscience Specialist
January 1, 2003 – January 1, 2009
Harvey Mudd College
Assistant Professor of Computer Science
July 1, 2023 – Present
Claremont, California, United States
Harvey Mudd College
Visiting Assistant Professor
August 1, 2021 – July 1, 2023
Claremont, California, United States
Next AI
Scientist in Residence
March 1, 2021 – September 1, 2021
Toronto, Ontario, Canada
York University
Postdoctoral Researcher
August 1, 2019 – June 1, 2021
Toronto, Ontario, Canada
Focal Systems, Inc.
Deep Learning Research Consultant
September 1, 2017 – January 1, 2018
Canada
Delph[eye]
Co-Founder, CTO
March 1, 2015 – April 1, 2017
Toronto, ON
CrossWing, Inc.
Senior Vision Systems Designer
May 1, 2013 – August 1, 2013
Markham, Ontario
Sunnybrook Health Sciences Centre - Primary Care Research Unit
Research Assistant - Medical Imaging
November 1, 2009 – April 1, 2010
Max Planck Institute for Dynamics and Self-Organization
Ludwig Prandtl Summer Intern
June 1, 2009 – August 1, 2009
Cumulus One Corporation
Software Development Consultant
June 1, 2008 – August 1, 2008
University of Toronto
Research Assistant
May 1, 2008 – August 1, 2008
ATS Automation Tooling Systems
Imaging Systems Design Intern
May 1, 2006 – May 1, 2007
Teaching Assistant Certificate in Teaching (TACT)
Staff and Educational Development Association
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and teaching, with some consulting and startup experience. While the technical skills in computer vision and machine learning are relevant, the direct alignment with a typical corporate 'Data Analyst' role, which often involves business intelligence, reporting, and specific data manipulation tools (e.g., SQL, Tableau, Power BI), is not explicitly demonstrated. The diversity of roles shows adaptability, but the focus has been more on scientific research than business data analysis. The candidate's experience level (12 years) is senior, but the specific application of their skills to a data analyst context needs further validation.
Soft Skills & Operational Fit
The candidate's academic and research roles suggest strong analytical thinking, problem-solving, and independent research capabilities. Experience as an Assistant Professor and Scientist in Residence indicates communication and mentorship skills. However, direct evidence of team collaboration in a corporate data analyst setting is limited.