Employment History

October 2023 – January 2026

Staff Machine Learning Engineer — VERSES AI

  • Developed systems leveraging probabilistic ML algorithms based on variational Bayesian methods for agent-based modeling & simulation.
  • Contributed to next-generation AI R&D involving hybrid architectures inspired by computational neuroscience for a “multidimensional data storage” platform.
  • Participated in developing a shared hyper-spatial modeling language and transaction protocol for an agent-centric cognitive-computing platform.
January 2023 – April 2023

Senior Data Scientist — VectorSolv Corporation

  • Developed advanced analytics using Transformers-based LLMs to classify unstructured data at enterprise scale.
  • Designed automated data-science pipelines using Kedro and MLflow for provenance, versioning, and monitoring.
  • Fine-tuned and deployed deep-learning models on a hybrid cloud + on-premises infrastructure (AWS SageMaker).
January 2022 – October 2022

R&D, AI Engineering — Solid State of Mind

  • Designed probabilistic ML algorithms for agent guidance, navigation, and control (GNC) in synthetic environments.
  • Contributed to a ~10,000× reduction in computation cost relative to deep RL baselines (e.g., PPO).
  • Re-implemented open-source agent decision-making code using probabilistic graphical models.
March 2021 – January 2022

Research Fellow, Cognitive Science and AI — ANITI, Toulouse

  • Led a citizen consultation on knowledge, acceptability, and ethical issues of AI and Big Data.
  • Built the entire stack from scratch: database (MariaDB), back-end (Dockerized R), front-end (Shiny, Bootstrap, JS).
  • Designed interactive D3.js information visualizations (word clouds, charts, geo-data overlays with GeoJSON).
November 2020 – January 2022

AI Engineering — Strategist — Zetane Systems

  • Won an Epic Games MegaGrant (~$150,000 USD) for a plugin bridging the Zetane visualization engine with Unreal Engine.
  • Developed user requirements for explainable AI (xAI) solutions for deep-learning model diagnostics.
  • Scoped and tested xAI use cases for computer-vision systems (anomaly detection in sensor systems).
November 2018 – April 2020

Lead AI Engineer — Presagis

  • Built AI knowledge and expertise in-house through intrapreneurial initiatives under the VP of Product Management.
  • Led development of a proof-of-concept data-fusion pipeline combining satellite imagery, photogrammetry, and 3D synthetic assets.
  • Demonstrated synthetic-data pipelines and computer-vision models at defence/aerospace and geospatial intelligence conferences.
December 2017 – November 2018

Chief AI Officer — Uni3T

  • Led roadmap development for a cloud-based innovation management platform for biotechnology & pharmaceutics research.
  • Designed and developed a prototype semantics-based search engine using deep-learning NLP.
  • Hired and managed a team of 5–7 developers; co-inventor of patent WO2022150929.
June 2017 – December 2017

Director of Engineering — Nexalogy

  • Led engineering for the NexaIntelligence social data-mining and analysis engine.
  • Developed proof-of-concept extractive text-summarization systems based on the Twitter API.
  • Raised $750,000 CAD from government agencies for ML, NLP, and information visualization capabilities.
March 2013 – August 2017

Human Factors & Cognitive Systems Engineering Consultant — C3 Human Factors

  • Consulting in human factors, cognitive ergonomics, and human-systems integration across industrial and defence R&D projects.
September 2007 – June 2012

Human Factors & Cognitive Systems Engineering Consultant — CAE

  • Provided Human Factors Engineering, Human Systems Integration, and Human Behaviour Representation support across a broad portfolio of defence and industrial R&D projects.
  • Conducted literature reviews, experimental studies, computational modeling and simulations.
September 2005 – April 2009

Research & Teaching Assistant — Carleton University

  • Research assistant in cognitive modeling and human factors at the Cognitive Modeling Lab and Centre for Applied Cognitive Research.
  • Teaching assistant in philosophy of mind, cognitive psychology, cognitive modeling & AI, and cognitive neuroscience.

Volunteer Work

AI Engineer (Volunteer) — McGill University / Douglas Mental Health Research Institute (2020)

Lead software architect for commercialization of an AI solution for ADHD research, integrating models from genetics, neurobiology, and phenotypic data. Supported by HBHL Neuro Commercialization Grants at McGill.

Education

MCIT, Computer and Information Technology

University of Pennsylvania, SEAS (School of Engineering and Applied Science) — 2022

PhD, Cognitive Science

Université Laval, Québec City, Canada — 2017

MCogSc, Cognitive Science

Carleton University, Ottawa, Canada — 2012

MA, Philosophy

Université du Québec à Montréal, Canada — 2005

BA, Philosophy

Université du Québec à Montréal, Canada — 2000

Core Competencies & Technical Stack

Languages Python (20+ years), C, Rust, Java, R, Julia, MATLAB, Lisp, JavaScript
Deep Learning JAX, PyTorch, TensorFlow, Keras, MXNet, Hugging Face Transformers
Probabilistic Programming Pyro, NumPyro, PyMC, TensorFlow Probability, Stan, PGMax, RxInfer.jl, Turing.jl, pyAgrum, pgmpy, pymdp
ML / Data Science NumPy, SciPy, scikit-learn, pandas, Dask, Swifter, SimPy, Mesa, ModSimPy
NLP NLTK, Gensim, spaCy, fastText, word2vec/doc2vec, Stanford CoreNLP, Transformers-based
Cloud & Big Data AWS (S3, EC2, SageMaker), GCP Vertex AI, Azure ML, Apache Spark, Airflow, Beam
MLOps / DataOps Kedro, MLflow, DataHub, TFX
Data Eng. & DBs SQL (MySQL, SQLite3, SQLAlchemy), MongoDB, Neo4j
Visualization Matplotlib, Seaborn, Plotly, D3.js, Shiny, GeoJSON, OpenCV
Optimization Python-MIP, CVXPY, Google OR-Tools
Privacy PySyft (federated learning, differential privacy, encrypted computation)
Domains Agent-based modeling & simulation; decision-support systems; semantic search & knowledge management; computer vision with synthetic data; human factors & cognitive ergonomics

Awards & Certifications

  • Google Cloud Certified Professional Machine Learning Engineer (2023–2025)
  • Certificate of Academic Excellence, Canadian Psychological Association (2017–2018)
  • NSERC Doctoral Scholarship, Natural Sciences and Engineering Research Council of Canada (2014–2017)
  • Carleton Admission Scholarship, Carleton University (2005–2010)
  • FQRSC Research Grant, Gouvernement du Québec (2005–2008)

Professional Affiliations

  • IEEE Standards Association (P2874 Spatial Web Working Group)
  • Open Geospatial Consortium, AI in Geoinformatics DWG
  • BRIMS Society (Behaviour Representation in Modeling & Simulation)
  • Association for the Advancement of Artificial Intelligence (AAAI)
  • ACM SIGAI (Special Interest Group on AI)
  • Canadian Artificial Intelligence Association
  • International Neural Network Society
  • Canadian Society for the Brain, Behaviour, and Cognitive Science
  • Cognitive Science Society
  • Human Factors and Ergonomics Society

Languages: English (fluent)  |  French (fluent)