Anqi Wu is an Assistant Professor at the School of Computational Science and Engineering (CSE), Georgia Institute of Technology. She was a Postdoctoral Research Fellow at the Center for Theoretical Neuroscience, the Zuckerman Mind Brain Behavior Institute, Columbia University. She received her Ph.D. degree in Computational and Quantitative Neuroscience and a graduate certificate in Statistics and Machine Learning from Princeton University. Anqi was selected for the MIT Rising Star in EECS, DARPA Riser, Alfred P. Sloan Fellow, and Kavli Fellow by National Academy of Sciences. Her research focuses on developing scientifically grounded statistical models to uncover structure in neural and behavioral data at the intersection of machine learning and computational neuroscience. She is broadly interested in creating data-driven models to advance both animal and human studies in systems and cognitive neuroscience.