Albert Liang

Albert Liang is a quantitative researcher at Two Sigma, focusing on AI research for Fast Forecasting and Trading since July 2023. Liang specializes in intraday trading tactics, market impact modeling, order execution, and various machine learning techniques, including reinforcement learning and deep learning. Prior experiences include serving as a graduate researcher and teaching assistant in the Machine Learning Department at Carnegie Mellon University, where research involved deep learning algorithms and uncertainty estimation. Additional internships at Two Sigma, Google, and Amazon provided hands-on experience in quantitative research and software engineering. Albert Liang holds a Master of Science in Machine Learning and dual Bachelor's degrees in Computational Finance and Computer Science from Carnegie Mellon University.