I am a Tenure-Track Assistant Professor at the University of Calgary, with a joint appointment in the Department of Mathematics and Statistics and the Department of Earth, Energy and Environment.

Before joining UCalgary, I was a Schmidt AI in Science Postdoctoral Research Fellow at Michigan Institute for Data and AI in Society (MIDAS), University of Michigan, mentored by Prof. Vladimir Dvorkin and Prof. Jiasi Chen. I received my Ph.D. degree in Electrical and Computer Engineering from Johns Hopkins University (JHU), where I worked with Prof. Yury Dvorkin in the Smart Energy Research (SEARCH) group, affiliated with the Ralph O’Connor Sustainable Energy Institute (ROSEI).

My research lies at the intersection of power system engineering, operations research, machine learning, and energy economics. My work focuses on addressing the challenges of increasing uncertainty, data complexity, and information asymmetry in modern power systems. I develop optimization and machine learning-based decision-support tools that re-imagine the process from raw data to power system operational decisions. This research supports the integration of high levels of variable renewable energy while improving the reliability, efficiency, robustness, and transparency of power and energy systems.

Education