Positions
Synod IntelliCare, Toronto, ON
Chief Technology Officer & Founding Engineer, 05/2026–Present
- Architected and led development of DDFA, a fairness auditing platform for healthcare AI, building a FastAPI/Python and React/TypeScript system with OAuth2/PKCE authentication, RBAC, audit logging, and Canadian census-based bias benchmarking, deployed on AWS (EC2, RDS, S3, IAM).
- Built and directed a 5-person engineering team across backend, infrastructure, and frontend functions, while establishing structured processes (SRS gap analysis reviews, task tracking, cross-functional syncs) to align a fast-moving startup team around a shared technical spec.
- Partner closely with executive leadership to shape company strategy, from securing key research and accelerator partnerships to defining product positioning and go-to-market priorities, translating high-level vision into an actionable execution roadmap for the team.
Self-employed, Greater Toronto Area, ON
Consultant, 11/2025–Present
- Continuing consultation on an AI modeling paradigm to perform efficient asset allocation and portfolio optimization using operations research and machine learning techniques.
University of Ottawa, Ottawa, ON
Researcher, 09/2024–09/2025
- Designed a context-sensitive Human-AI orchestration framework using a multi-stage methodology to systematically assign optimal collaboration modes (HITL, HOTL, HITLFE, HOOTL) based on decision criticality and latitude.
- Designed Human-AI responsibility allocation using the 4C model (Communication, Coordination, Cooperation, Collaboration) to distribute tasks across interaction layers, ensuring accountability and reducing risks like automation bias in high-stakes environments.
Self-employed, Greater Toronto Area, ON
Consultant, 10/2023–09/2024
- Developed mathematical programming models to solve the staffing optimization problem.
- Consulted on a project to perform efficient asset allocation and portfolio optimization using operations research and machine learning techniques.
Argonne National Laboratory (ANL), Greater Toronto Area, ON
Research Consultant, 01/2022–06/2023
- Developed mathematical and algorithmic techniques for directly fitting Monte Carlo simulations to experimental data or data observed in nature using a stochastic trust-region optimization algorithm.
- Developed a workflow package to efficiently solve derivative-free stochastic optimization problems in a high performance computing environment.
Argonne National Laboratory (ANL), Lemont, IL
Postdoctoral Appointee, 10/2018–09/2021
- Developed and implemented mathematical and algorithmic techniques for approximating expensive functions in High Energy Physics (HEP).
- Developed robust optimization and design of experiment formulations to decide weights of importance with the goal of tuning a HEP Monte Carlo simulator.
- Developed, maintained, and published HEP analysis packages called apprentice and outer optimization for efficiently constructing polynomial/rational approximations and for performing χ² minimizations.
George Mason University (GMU), Fairfax, VA
Graduate Research Assistant, 01/2013–08/2018
- Designed and developed reusable mathematical models for non-linear, stochastic, hierarchical, and temporal manufacturing processes from real-world data.
- Designed and developed one-stage stochastic optimization algorithms based on deterministic approximation heuristics.
- Developed and published the stochastic optimization algorithm based on deterministic approximations (SODA) to efficiently solve the problem of finding controls for stochastic processes in a large manufacturing service network.
National Institute of Standards and Technology (NIST), Gaithersburg, MD
Guest Researcher, 01/2015–12/2017
- Designed and populated a repository of reusable mathematical models that were sourced from real-world data, publications, and crowdsourced data.
- Developed a software framework and prototype (FactoryOptima) to perform composition, analysis, and optimization on reusable models.
George Mason University (GMU), Fairfax, VA
Graduate Teaching Assistant, 08/2012–12/2012
Los Alamos National Laboratory (LANL), Los Alamos, NM
Research Technologist, 05/2010–06/2012
- Designed and developed scientific algorithms for highly variable and large scale bioinformatics tools.
- Developed and debugged multiple backend modules of the HIV project.
- Redesigned the HIV website using Model-View-Controller (MVC) framework and web services.
Los Alamos National Laboratory (LANL), Los Alamos, NM
Research Assistant, 07/2008–04/2010
- Designed and developed Tree Viewer, Pruner and Decorator tools to perform selection and annotation of Influenza sequences.
- Designed and developed a schema for a large Influenza Sequence Database.