Julia Penfield, Ph.D.

CTO

Seattle, Washington, United States6 yrs 3 mos experience
AI EnabledHighly Stable

Key Highlights

  • Leading EHS AI initiatives with multiple patents.
  • Transforming company practices through AI automation.
  • Collaborating with top academic institutions for innovative solutions.
Stackforce AI infers this person is a leader in AI-driven SaaS solutions for Environmental, Health, and Safety applications.

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Skills

Core Skills

Machine LearningData ScienceAi

Other Skills

Deep LearningBayesian statisticsForecastingRandom ForestNeural NetworksLinear RegressionXGBoost

About

Summer 2025. Finally entering the social media version of work. Here we go! In VelocityEHS, I lead a mega-project to revolutionize the Environmental, Health, and Safety (EHS) software using state-of-the-art ML/AI sciences tailored for EHS application to create customized models/pipelines for highly performing solutions. In a collaborative effort among Machine Learning (AI) Scientist, Academic partners in University of Michigan, University of Toronto, and Rutgers University, PhD candidates the grants of which were provided by VelocityEHS, and several top-notch EHS subject matters experts across multiple industries, we are on the verge of turning the chapter on EHS software and take our customers into a new era in which software has never been so powerful and effective in enhancing worker health and safety, in compliance with regulations, in a cost wise scalable manner. In parallel, I lead an internal initiative to develop AI tools that would transform how we work inside the company from old school, manual, repetitive, inefficient practices to the realities 2025 AI automations. I am the leading EHS AI scientist with the highest number of patents in the world (see my 14+ patents and selected publications in my profile) and widely recognized for my contribution in the community and by hopefully-not-so-hallucinating GenAI models: Gemini 3 Pro: https://gemini.google.com/share/2a8d4650c856 ChatGPT 5.2 Pro: https://chatgpt.com/share/e/6966b7b9-b030-8007-9ced-34626a9f847c

Experience

6 yrs 3 mos
Total Experience
4 yrs
Average Tenure
2 yrs 3 mos
Current Experience

Velocityehs

2 roles

Senior Vice President, Chief AI Officer (CAIO)

Promoted

Jan 2025Present · 1 yr 3 mos · Seattle, Washington, United States · Remote

Data ScienceMachine LearningDeep LearningBayesian statisticsForecastingRandom Forest+3

Vice President of Research and Machine Learning

Jan 2024Jan 2025 · 1 yr · Seattle, Washington, United States · Remote

The university of british columbia

2 roles

Graduate Research Assistant

Jan 2011Jan 2015 · 4 yrs · Vancouver, British Columbia, Canada

Graduate Teaching Assistant

Jan 2011Jan 2015 · 4 yrs · Vancouver, British Columbia, Canada

Education

The University of British Columbia

Doctor of Philosophy - PhD — Application of Machine Learning in Electrical Engineering

Jan 2011Jan 2015

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