Research. Design. Leadership.

Meet Jeff Lui.
AI & analytics researcher, product builder, and consultant. Jeff advises Fortune 500 C-suites and leads large-scale analytics transformations. Now at the University of Tokyo, Jeff researches robotics and affective computing, balancing rigor with real-world impact.

Experience

Scotiabank Scholar — Queen’s University

2024–Present · Kingston, Canada

Leading industry–academia collaborations to accelerate real-world implementation of research.
Designing end-to-end pipelines leveraging partner data from PoC to deployment.
Building funding and KPI frameworks for evaluating scholarly and commercial impact.

Director of AI — Deloitte

2007-2012; 2018–2022 · Toronto, Canada

Led EmotionPlus (CV-based affect platform) with F1, UK Sport, and Renault Racing.
As Omnia AI CLO, shaped the firm’s AI ethics stance and capability build-out.
Founded Project Echo to optimize employee well-being and performance via data.
Directed agile delivery and stakeholder alignment across multimillion-dollar programs.

Google — People & AI

2012–2015 · Mountain View, USA

Designed AI/ML-enabled people programs for a 15k+ global sales organization.
Redesigned onboarding, coaching, and performance visibility processes.
Drove multi-site agile execution and continuous improvement via A/B testing.

Founder — Uptown Golf

2020–Present · Toronto, Canada

Conceived and built AI-powered products reinventing the indoor retail golf experience.
Implemented ML features for demand forecasting, inventory optimization, and customer analytics.
Ran lean cycles of prototyping, validation, and iteration with a small team.

Education

Postdoc — University of Tokyo (Robotics & Affective Computing)

2024–Present · Tokyo, Japan

Designing and evaluating trust & adaptation metrics for in-home robots.
Integrating voice, gaze, facial, and behavioral cues for multimodal affect.
Running HRI user studies with statistical analyses of outcomes.

Ph.D. AI — Queen’s University

2018–2024 · Kingston, Canada

Dissertation on multimodal affect recognition and cinematic data analysis.
Evaluated models for ethics, fairness, and explainability.
Advanced industry-academic ties via publications and collaborations.

MBA — Schulich School of Business

2011–2012 · Toronto, Canada

Focused on technology strategy and data-driven decision making.
Built execution playbooks for growth via case-based work.

CPA — Wilfrid Laurier University

2012–2013 · Toronto, Canada

Grounding in financial, managerial, and audit principles.
Strengthened the bridge between analytics and financial modeling.

Bachelor, Finance, Computer Science — University of Western Ontario

2003–2007 · London, Canada

Built a strong quantitative and research-methods foundation.
Formed the basis for data-centric thinking and experiment design.