Richard Branch

Background

About Richard Branch

Leading the advancement of Responsible AI, AI Governance, and Model Compliance Risk Management practices across TD. Professionally focused on advancing Responsible AI practices across the financial and insurance industry On a lifelong journey of pursuing knowledge and chasing new discoveries. Experienced researcher, problem solver, and creative thinker- Short Bio: Professional experience includes Responsible AI, AI Governance, Compliance, GenAI, Machine Learning, Deep Learning, Data Science, Algorithmic Fairness, Explainable AI, and Team Leadership. Ph.D. in Computing from Queen’s University, where my field of study was machine learning. Research focused on deep learning and generative models. M.Sc. in Applied Modeling and Quantitative Methods from Trent University, where I gained experience in Machine Learning, Data Science, and Ensemble Learning. Successfully researched, proposed, and developed machine learning methods for to anomaly detection via deep generative models as member of the Smart Information Management Laboratory, led by Dr. Skillicorn. During my academic journey, I have been awarded numerous scholarships, grants, awards, and distinctions for my academic achievements, for which I am eternally grateful. On a personal note, I'm a bit of a fitness nut and enjoy watching tennis. Kaggle: GitHub: https://github.com/Conanbranch/