Data Science Lead | Machine Learning | Cybersecurity
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Assessing your cultural and operational fit
Expert in data science and machine learning with 20+ years of experience spanning data management, machine learning, and security analytics—designing scalable, high‑impact systems across enterprise environments.
Iowa State University
Ph.D, Industrial and Manufacturing Systems Engineering
January 1, 2004 – January 1, 2007
Tsinghua University
Master of Science, Control Science and Engineering
January 1, 2001 – January 1, 2004
Tsinghua University
Bachelor of Science, Automation
January 1, 1997 – January 1, 2001
Cyderes
Senior Principal Engineer
December 1, 2025 – Present
San Francisco Bay Area · Remote
Lucidum
Director of Data Science and Machine Learning
July 1, 2021 – November 1, 2025
Lucidum
Data Science Lead
January 1, 2020 – July 1, 2021
Splunk
Senior Data Scientist, Security Innovation and Data Science
July 1, 2018 – December 1, 2019
San Francisco Bay Area
Nordstrom
Principal Machine Learning Scientist, Digital Practice
November 1, 2017 – June 1, 2018
Greater Seattle Area
Symantec
Information Security Lead
July 1, 2016 – November 1, 2017
Mountain View
Symantec
Senior Principal Statistical Analyst
February 1, 2014 – June 1, 2016
Mountain View
Verisk Innovative Analytics
Lead Statistical Scientist
March 1, 2012 – February 1, 2014
San Francisco Bay Area
ISO Innovative Analytics
Senior Statistical Analyst
October 1, 2007 – February 1, 2012
San Francisco Bay Area
Cultural Fit Analysis
The candidate has worked across diverse company sizes and industries, from startups (Lucidum) to large enterprises (Splunk, Nordstrom, Symantec), demonstrating adaptability. Their roles consistently involve leveraging data for business impact and innovation, aligning with a results-oriented culture. The breadth of their experience in data science and machine learning indicates a strong problem-solving mindset.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Director, Lead Statistical Scientist) and cross-functional collaboration (product development, sales presentation, customer support) suggests strong soft skills in communication, project management, and stakeholder engagement. Their work on integrating data workflows during a merger indicates operational acumen and adaptability.