Portfolio  ·  Hamilton, Ontario

JoAnne
Hosick

Physicist  ·  Data Scientist  ·  AI Builder

Fifteen years operating Ontario’s electricity grid at the IESO. Now leading performance analytics for 3 GW of solar and storage across North America.

I've spent 20+ years at the intersection of scientific rigour and real-world systems — from Ontario's electricity grid to renewable energy analytics to the corner of my kitchen table. I like data that has a lot of questions. Here's some of what I've built.

See Projects About Me

At IEEE Quantum Week 2026

I’m here to understand which quantum-optimization claims map onto real grid problems — unit commitment, dispatch, contingency analysis — and which don’t yet. If we talked at a break, say hello below; I’d like to keep the conversation going.

Selected Projects

Things I've Built

AI strategic roadmap visualization — interconnected node network representing the enterprise data strategy
AI Infrastructure  ·  Enterprise

Enterprise ML Data Lab

I built the environment where analysts became data scientists — and watched the user community grow 7× in a year.

As part of a six-project, $3.5M Enterprise Data Strategy at Ontario's electricity grid operator, I stood up an Azure-based Machine Learning Data Lab and ran the RFP and vendor negotiations for an AI development platform and enterprise data catalogue across 8 departments. The lab accelerated smart-metering analytics 15× on hourly consumption data from 5 million meters.

I built the community around it — training videos, use-case libraries, a cross-disciplinary community of practice. Active users grew from 20 to 135+ analysts and engineers. Neural-network models built in the lab improved real-time generation dispatch accuracy by ~200 MW across Ontario's grid.

  • Microsoft Azure
  • ML Ops
  • Python
  • Neural Networks
  • Enterprise RFP
  • Data Catalogue
  • Community of Practice
Sense Energy Monitor and heat-pump equipment with overlaid power draw charts and temperature correlation scatter plot
NILM  ·  Smart Home  ·  Live Dashboard

Non-intrusive Load Monitoring (NILM)

Our heat pump was running its resistance strips when it had no reason to. I built a dataset to prove it.

Collected 16 months of Daikin Skyport cloud data and 6 months of hourly readings from a Sense Energy Monitor, cross-referenced with Open-Meteo hourly weather reanalysis for Hamilton. Using non-intrusive load monitoring techniques, I disaggregated the air handler from total HVAC energy: it consumed 3,492 kWh over 6 months — 37% of combined HVAC energy — despite being a supplemental source that should only activate in extreme cold.

The Pearson correlation between air handler wattage and outdoor temperature was −0.15 (R² = 0.02). A properly staged system should show −0.65 to −0.80. Issue identified, documented, and resolved. The live dashboard tracks post-fix system performance as data accumulates across the next heating season.

Launch Dashboard
  • Sense Energy Monitor
  • Daikin Skyport
  • Open-Meteo API
  • NILM / Load Disaggregation
  • Pearson Correlation
  • Python
  • Live Dashboard
Universe simulation interface showing a spiral galaxy with procedural particle systems, sliders, and cosmic controls
Creative AI  ·  Interactive Experience

Universe Engineer

What does it take to build a universe — from the Big Bang to planetary life — one dial at a time? A 26-page interactive experience in physics, narrative, and creative AI.

Five sliders control the fundamental constants: PULL (gravity), GLUE (strong force), STRETCH (cosmological constant), SPARK (electromagnetism), and ORBIT (habitable zone). Particle scenes respond in real time as nebulae collapse, stars ignite, planets form, and life either appears or doesn't. A Game/Explore mode lets you be careful scientist or chaos agent; Maximum Drama sets the sliders to the edge of what's still livable. A "For the curious" toggle reveals the actual physics values behind each dial.

Built entirely with Claude as the coding partner — from skeleton scaffold through narrative passes, visual polish (bloom, blackbody colour, volumetric nebula, curl-noise fields, N-body perturbations), to photo-seeded particle systems using real cosmic imagery.

Launch Universe Engineer
  • Claude (AI coding)
  • JavaScript / Canvas
  • WebGL2
  • Particle Systems
  • Procedural Animation
  • N-body Simulation
About

Physicist by training.
Builder by practice.

JoAnne Hosick at a desk in a moody architectural office space, working by city lights at dusk

My M.Sc. at Western Ontario was in Scientific Computing — I ran N-body simulations of galaxy collisions on SHARCNET supercomputers and published three peer-reviewed papers on variable-star photometry before moving into energy systems.

Since then I've spent two decades building data infrastructure for large, complex systems. Fifteen years at Ontario's electricity grid operator (IESO), where I led demand forecasting for provincial real-time dispatch and eventually the Enterprise Data Strategy — a $3.5M program across 8 departments that built an Azure ML stack, a machine learning lab, and data pipelines on 5 million smart meters. Now at Recurrent Energy, managing analytics for 55 North American solar and battery sites and leading a $500k cross-functional AI initiative to detect equipment underperformance.

I'm currently completing a Master of Engineering in Interdisciplinary Artificial Intelligence at the University of Ottawa.

Education

  • M.Eng Interdisciplinary Artificial Intelligence (In Progress) — University of Ottawa
  • M.Sc. Scientific Computing — Western Ontario
  • B.Sc. Physics & Astronomy — University of Toronto
  • Grad. Diploma, Power Systems Engineering — Waterloo
  • MBA Essentials — Rotman / University of Toronto

Certifications

  • Strategic Technology Roadmapping — MIT Professional Education
  • AI Pathways — Alberta Machine Intelligence Institute
  • Machine Learning for Big Data Analytics — McMaster
  • Cloud & DevOps: Continuous Transformation
  • Foundations in Data Science Bootcamp
Career

Background

  1. Now
    M.Eng Interdisciplinary Artificial Intelligence University of Ottawa, Faculty of Engineering — In Progress
  2. 2025
    Senior Manager, System Performance & Data Analytics Recurrent Energy — Analytics for 55 North American solar & battery sites (3+ GW)
  3. 2024
    Manager, Analytics, Operations & Maintenance Recurrent Energy — Led $500k AI initiative across 5 departments; 20% reduction in operator workload
  4. 2019
    Senior Manager, Data & Analytics — Smart Metering IESO — $3.5M Enterprise Data Strategy; ML Data Lab 20→135+ users; 15× analytics acceleration on 5M meter dataset
  5. 2009
    Planner / Engineer / Senior Engineer — incl. Lead Demand Forecaster IESO — Created and maintained demand-forecasting models used for provincial real-time dispatch; neural-network models for DER output improved market accuracy ~200 MW
  6. 2006
    Engineer Trainee / Dispatcher Hydro One — Transmission Planning, Operating Technology, Ontario Grid Control Centre
Outreach & Research

Outreach

  • IESO delegate, Electricity Canada Data Analytics Working Group (2020–2024)
  • Speaker, Big Data & Analytics for the Public Sector (2022)
  • Host & moderator, IESO Learning Week — cross-sector AI discussion featuring Vector Institute CCO
  • STEM outreach: University of Toronto "Math in Motion" for Grade 9 girls
  • Technical advisor, Ontario Science Centre Electricity Show
  • Public planetarium presenter, McMaster University Planetarium
  • Assisted installation of the University of Toronto radio telescope
Publications

49+ citations  ·  ResearchGate: J. Hosick

  1. Percy, Hosick & Leigh — Self-Correlation Analysis of RV Tauri Stars, PASP 2003
  2. Percy & Hosick — Do Red Giant Stars Pulsate in High Overtones?, MNRAS 2002
  3. Percy, Hosick, Kincaide & Pang — Autocorrelation Analysis of Short-Period Be Stars, PASP 2002
Get in Touch

Let's talk
data.

I'm happy to talk about AI, the electricity grid, variable stars, or automating things that shouldn't need to be manual.

joanne@quantumboutique.ca

Save my contact

Hamilton, Ontario