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Director, Computer Vision/Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I use computer vision to solve problems in precision ag. In the past, I have used machine learning in computational advertising and deep learning to model gene regulation. I have also published articles during my time in school and later. https://scholar.google.com/citations?user=yhelu1cAAAAJ&hl=en
Emory University
Doctor of Philosophy (PhD), Computer Science
January 1, 2009 – January 1, 2014
Georgia Institute of Technology
Computer Science
January 1, 2008 – January 1, 2008
Korea University
Computer Science
January 1, 2008 – January 1, 2008
Emory University
Doctor of Philosophy (PhD), Genome Sciences/Genomics, Computer Science
January 1, 2008 – January 1, 2013
PICB
Research Doctorate, phylogenomics
January 1, 2008 – January 1, 2008
University of Michigan
Business
January 1, 2004 – January 1, 2004
Università degli Studi di Padova
Master's degree, Computer Science
January 1, 2000 – January 1, 2004
Blue River Technology
Director, CVML
February 1, 2025 – Present
Blue River Technology
Sr. Manager, Computer Vision/Machine Learning
January 1, 2022 – February 1, 2025
Blue River Technology
Manager, Computer Vision/Machine Learning
September 1, 2019 – January 1, 2022
Blue River Technology
Sr. Scientist
November 1, 2017 – September 1, 2019
Adobe
Machine learning scientist
June 1, 2014 – November 1, 2017
San Francisco Bay Area
Emory University
Phd student
August 1, 2008 – May 1, 2014
Atlanta, GA
PICB
Researcher
May 1, 2008 – July 1, 2008
Korea University
Visiting Scolar
January 1, 2008 – May 1, 2008
Seoul, South Korea · On-site
Functional Programming Principles in Scala
Coursera
June 24, 2026 – Present
Combinatorial Optimization @ Work
Zuse Institute, Berlin
June 24, 2026 – Present
Epigenetic Control of Gene Expression
Coursera
June 24, 2026 – Present
Neural Networks for Machine Learning
Coursera
June 24, 2026 – Present
Probabilistic Graphical Models
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive academic background and progression through research and leadership roles in ML/CV suggest a strong fit for a technically driven, innovative culture. The long tenure at Blue River Technology indicates loyalty and ability to grow within an organization. The diverse educational background (Emory, Georgia Tech, Korea University, Università degli Studi di Padova) and research experience (PICB) suggest adaptability and a broad perspective. However, the lack of detailed project descriptions makes it difficult to assess alignment with specific cultural values or collaborative styles beyond general technical leadership.
Soft Skills & Operational Fit
The candidate's career progression into leadership roles (Manager, Sr. Manager, Director) suggests strong leadership, project management, and potentially team collaboration skills. The academic background and research experience imply strong analytical and problem-solving abilities. However, without psychometric test results or detailed project descriptions, a comprehensive assessment of operational fit and specific soft skills is limited.