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Senior Director of Machine Learning, PhD
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ML platforms • GenAI products • Organizational scaling • Turning AI strategy into revenue at scale AI/ML leader with 15+ years of experience building and scaling production AI systems, teams, and platforms across SurveyMonkey, Amazon, Stats Perform, and SAS Institute. PhD, 5 patents awarded, 19 publications.
University of Alberta
PhD, Computer Science
January 1, 2004 – January 1, 2010
Zhejiang University
M.Eng., Computer Science and Engineering
January 1, 2000 – January 1, 2003
Zhejiang University
B.Eng., Computer Science and Engineering
January 1, 1996 – January 1, 2000
Nankai High School
High School Diploma
January 1, 1990 – January 1, 1996
SurveyMonkey
Senior Director of Machine Learning
January 1, 2026 – Present
SurveyMonkey
Director of Machine Learning
January 1, 2022 – January 1, 2026
Amazon Web Services (AWS)
Software Development Manager
January 1, 2021 – January 1, 2022
Stats Perform
Senior Manager - Machine Learning
January 1, 2020 – January 1, 2021
Durham, North Carolina, United States
SAS
Senior Manager - Machine Learning & Data Mining
January 1, 2013 – January 1, 2020
Cary, North Carolina
SAS
Research Statistician Developer - Data Mining
January 1, 2010 – January 1, 2013
Cary, North Carolina
Broadcom
Engineering Intern
January 1, 2010 – January 1, 2010
Richmond, BC, Canada
BoostSoft
Software Engineer
January 1, 2007 – January 1, 2009
University of Alberta
Research And Teaching Assistant
January 1, 2004 – January 1, 2009
UTStarcom
Software Engineer
January 1, 2003 – January 1, 2004
Hangzhou, Zhejiang, China
Cultural Fit Analysis
The candidate has a strong background in research and development, transitioning into leadership roles in large technology companies (SAS, AWS, SurveyMonkey). While the experience is heavily focused on Machine Learning and AI, the target role is 'Data Analyst'. This represents a significant shift from leadership and ML engineering to a more analytical, potentially individual contributor role. The breadth of experience across different companies and roles (research, development, management) suggests adaptability, but the direct alignment with a 'Data Analyst' role, especially at a senior level, is not immediately clear from the provided data. The candidate's experience is more aligned with a 'Lead Data Scientist' or 'ML Engineer' role.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in transitioning teams to Agile, managing product lifecycles, and providing technical guidance, indicating strong operational and team management skills. Experience in supporting released products and managing customer issues suggests a focus on reliability and problem-solving. However, specific soft skill assessments are not available.