Timothy M. Sturtz

Director at Environmental Science Associates

Role
Business Development Lead and Air Quality Specialist at Environmental Science Associates
Location
Bellingham, WA, US
LinkedIn followers
500 followers

About Timothy M. Sturtz

With over 18 years in the environmental field, Tim has built a reputation for managing highly technical analyses. His unique strength is his capacity to quickly deep dive into complex topics, often associated with environmental research or litigation, and emerge with highly useful results tailored for a range of audiences. This ability, combined with his focus on air quality and proficiency in scientific programming and geospatial analyses, has enabled him to tackle intricate projects. His technical skills extend to Python programming, geospatial analyses, and Linux-based high-performance cloud computing, all of which have been instrumental in his research applications. As he looks to the future, Tim envisions a significant role for data science and technology in addressing environmental challenges. He is committed to leading the charge in these developments, continually expanding his skills and knowledge to drive innovation in the field.

Experience

  1. Business Development Lead and Air Quality Specialist

    Environmental Science Associates

    Oct 2022 — Present · Seattle, WA, US

Education

  • University of Washington

    Doctor of Philosophy (Ph.D.), Civil & Environmental Engineering

    2009 — 2014

  • Michigan Technological University

    Bachelor’s Degree, Civil & Environmental Engineering

    2001 — 2006

  • University of Washington

    Master’s Degree, Civil & Environmental Engineering

    2006 — 2008

Skills

  • Climate Change
  • Odor Assessments
  • Environmental Engineering
  • Environmental Impact Assessment
  • Statistical Data Analysis
  • Nepa
  • Gis
  • Source Apportionment
  • Environmental Compliance
  • Litigation Support
  • Environmental Science
  • Emissions Analysis
  • Python
  • Statistical Modeling
  • Air Quality
  • Air Quality Modeling
  • Positive Matrix Factorization
  • Receptor Modeling
  • Scientific Programming

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