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Dad | Husband | ex-Employed | Mathematician
Machine learning scientist experienced in researching and solving problems in anomaly detection, time-series analysis, large-scale nearest neighbors search, and topic modeling. Implements research into production-quality code. Experienced in all phases of scientific project management, including identifying scientific objectives based on customer requirements, designing project plans in consultation with multiple stakeholders, experimenting with and developing prototype solutions, realizing research products by developing production-level code, and authoring documentation and post-release educational blogs and talks. Mentored interns and new team members.
University of Washington
Doctor of Philosophy (Ph.D.) (Did Not Defend), Applied Mathematics
January 1, 2010 – January 1, 2017
University of Washington
Master of Science (M.S.), Applied Mathematics
January 1, 2009 – January 1, 2010
University of Washington
B.S. (Comprehensive), Mathematics
January 1, 2004 – January 1, 2008
Bellarmine Preparatory School
High School
January 1, 2000 – January 1, 2004
SentiLink
Senior Data Scientist
April 1, 2024 – March 1, 2026
Seattle, Washington, United States · Remote
Outreach
Senior Staff Applied Scientist
September 1, 2022 – February 1, 2024
Seattle, Washington, United States
Amazon Web Services
Applied Scientist
May 1, 2017 – April 1, 2022
Seattle, WA
Amazon
Software Development Engineer
November 1, 2016 – May 1, 2017
Seattle, WA
Institute for Defense Analyses
Research Mathematician
June 1, 2012 – September 1, 2012
La Jolla, California
Department of Defense
Applied Research Mathematician
June 1, 2007 – August 1, 2007
abelfunctions
February 1, 2012 – Present
A library for computing with Abelian functions, Riemann surface, and algebraic curves. http://abelfunctions.cswiercz.info
pychebfun
August 1, 2011 – Present
A Python implementation of Trefethen and Battles' Chebfun package for fast and accurate numerical computation of real-valued functions.
Cultural Fit Analysis
The candidate's background includes significant contributions to open-source-like projects (abelfunctions, pychebfun) and a strong academic foundation, suggesting a proactive and intellectually curious individual. Their experience in diverse roles from SDE to Applied Scientist and Senior Data Scientist indicates adaptability. The target role of 'Data Analyst' might be a slight mismatch given their senior 'Applied Scientist' and 'Senior Data Scientist' experience, which typically involves more advanced modeling and less pure reporting/dashboarding, but their analytical skills are highly relevant.
Soft Skills & Operational Fit
The candidate's experience at Amazon and Outreach demonstrates leadership in scientific design, coordination across teams, and mentoring, suggesting strong operational fit and collaboration skills. The detailed project descriptions indicate good communication of complex technical work.