Skip to content

Alex MacIntosh, PhD

AI Consultant & Scientist

Executive Summary: Bridging the "Trust Gap"

I am an AI Consultant & Scientist, helping Digital Health companies build technology that is transparent, explainable, and backed by real evidence. I focus on making sure your AI is used in a "good" way—meaning it follows best practices and provides results that users and investors can actually trust. With a PhD in Biomedical Engineering and over 40 peer-reviewed research publications, I provide the scientific proof and technical execution your product needs to move from a lab prototype to a market leader.

Professional Experience

Acuity Insights | Scientist & Senior Manager, Research

2020 – Present

  • R&D: Led the prototyping and evaluation of NLP and LLM algorithms, facilitating the transition from manual expert rating to automated, evidence-backed validation systems.
  • Revenue Generation: Conceptualized and launched a Research Services portfolio that generated $300,000 in new market revenue and 130 qualified leads in its first year.
  • Client Consulting: Designed 60+ analytical and quality assurance reports evaluating the validity, fairness, and equity of high-stakes assessment processes.
  • Strategic Leadership: Scaled the research department from 2 to 12 members, aligning R&D with company-level Key Results (KRs) and securing $100K in annual internal grant funding.

Bloorview Research Institute | Researcher

2014 – 2019

  • Personalized Rehabilitation AI: Designed and evaluated ability-based balancing algorithms for therapeutic exergames, leveraging real-time biofeedback to drive measurable improvements in physical recovery outcomes.
  • Global Research Strategy: Executed a joint-PhD between the University of Toronto and Université Paris-Saclay, bridging Computer Science, Motor Control, and Biomedical Engineering.

GTD Scientific Inc. | Research Engineer (Consultant)

2014 – 2016

  • Predictive Modeling: Developed biomechanical simulations to support corporate decision-making and product evaluation.
  • Evidence Synthesis: Authored technical manuscripts translating complex research findings into actionable insights for product development and procurement.

Academic Appointments & Education

  • Adjunct Faculty | Applied Modelling and Quantitative Methods | 2023 – Present
    Trent University

  • PhD, Biomedical Engineering & Motor Control | 2016 – 2019
    University of Toronto & Université Paris-Saclay (Dual Degree)
    Top 6% nationally (CIHR Doctoral Research Award Evaluation)

Analysis & Tech Stack

  • Languages & Libraries: Python (Pandas, Polars, SciPy, TensorFlow, PyTorch, LangChain, LangGraph, GraphRAG, spaCy, FastAPI, Streamlit, Plotly, Weights & Biases); R, SQL (PostgreSQL).
  • Platforms & Tools: Vertex AI, Gemini File Search, Docker, Firebase, Pinecone, Looker, and Qlik.
  • Methodologies: Bayesian & Classical Statistics, Mixed-Methods Studies, Psychometrics, Meta-analysis, Biomechanical Modelling, and User-Centered Design.

Scientific Leadership & Impact

  • Funding: Secured over $500,000 in research funding through agencies including CIHR, Mitacs, and the Eiffel Excellence Scholarship (France).
  • AI Policy: Technical Committee Member | Digital Governance Standards (CAN/DGSI 101). Contributing to national policy on the Ethical Use of AI by small and medium organizations.

Patent Contributions

  1. Computer System and Method for Cognitive Tests for Scalable Precision Education (Acuity Insights, 2024): Interactive digital platforms for measuring and scoring cognitive performance through behavioral data.
  2. Natural Language Processing for Quality Assurance for Constructed-Response Tests (Altus Assessments, 2022): Novel architectures for automating the audit and validation of high-stakes textual assessments.
  3. Ability-based balancing for Exercise Video Games (Bloorview Research Institute, 2016): Dynamic, ability-based balancing algorithms that utilize real-time biofeedback to tailor rehabilitation experiences.