Leading Data-Driven Investment Research and acting as Chief Science Officer at Atlas Capital Team, I focus on developing machine learning forecasting systems and innovative data-driven investment strategies. My approach blends advanced analytics with deep financial knowledge, driving strategic decision-making across multiple asset classes.Previously at the Canada Pension Plan Investment Board, my role centered on enhancing equity quantitative investing. By integrating cutting-edge machine learning techniques with both alternative and traditional data, I helped forge robust quantitative investment strategies that significantly improved predictive accuracy and operational efficiency. Before my tenure at CPPIB, I gained valuable experience in the financial sector through roles at prominent banks and hedge funds. My academic background includes an undergraduate degree and a Ph.D. from the University of Toronto, where I explored the nexus of finance, engineering, and statistics. I also hold the Chartered Financial Analyst designation, affirming my deep-rooted commitment to the highest standards of investment management.I am passionate about harnessing data science to transform investment strategies. Connect with me to explore how cutting-edge data analytics and machine learning can revolutionize your investment strategies.