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AI Security at Microsoft | Co-Founder at CAMLIS
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
The University of Texas at Austin
PhD, Neuroscience
January 1, 2009 – January 1, 2014
Washington and Lee University
BS, Physics
January 1, 2005 – January 1, 2009
Microsoft
Principal Applied Scientist
March 1, 2023 – Present
Arthur
Vice President of Machine Learning
January 1, 2020 – March 1, 2023
Capital One
Director, Machine Learning Research
September 1, 2018 – January 1, 2020
CAMLIS
Co-Founder, Governing Board
May 1, 2017 – Present
Capital One
Machine Learning Engineer, Senior Manager
February 1, 2017 – September 1, 2018
Georgetown University
Adjunct Assistant Professor
January 1, 2017 – January 1, 2021
IronNet Cybersecurity
Data Scientist
October 1, 2015 – February 1, 2017
L-3 Data Tactics
Data Scientist
August 1, 2014 – October 1, 2015
Texas Venture Labs
Associate
January 1, 2014 – May 1, 2014
Civitas Learning
Data Science Intern
July 1, 2013 – September 1, 2013
The University of Texas at Austin
PhD Candidate
August 1, 2009 – July 1, 2014
Cultural Fit Analysis
The candidate's background is heavily skewed towards Machine Learning, AI, and Data Science, with significant leadership roles. While these skills are foundational for a Data Analyst, the target role typically involves more direct data manipulation, reporting, and business intelligence, which are not explicitly detailed in the experience. The candidate's experience is at a much higher strategic and research level than a typical Data Analyst role, suggesting a potential mismatch in day-to-day responsibilities and expectations. Their involvement in founding CAMLIS demonstrates initiative and community engagement.
Soft Skills & Operational Fit
The candidate's experience as a Principal Applied Scientist, VP of Machine Learning, and Director of ML Research indicates strong leadership, strategic thinking, and problem-solving skills. Their role as an Adjunct Assistant Professor also highlights communication and mentorship abilities. The descriptions suggest a proactive and impactful approach to developing and deploying ML solutions.