Andrew F. Ilersich, Kevin Course, and Prasanth B. Nair. "Data-driven stochastic reduced-order modeling of parametrized dynamical systems." arXiv preprint, 2026.
Andrew F. Ilersich and Prasanth B. Nair. "Learning stochastic multiscale models." Neural Information Processing Systems, 2025.
Andrew F. Ilersich and Prasanth B. Nair. "Deep learning with Gaussian continuation." Foundations of Data Science, 7(3): 790-813, 2025.
Andrew F. Ilersich and Suraj Bansal. "Conceptual aerodynamic design considerations for a fixed-wing microgravity UAV." AIAA Aviation Forum, 2023.
Andrew F. Ilersich, Kyle A. Schau, Joseph C. Oefelein, Adam M. Steinberg, and Masayuki Yano. "Augmenting covariance estimation for ensemble-based data assimilation in multiple-query scenarios." Combustion Theory and Modelling, 26(6):1041-1070, 2022.
Andrew F. Ilersich, Kyle A. Schau, Joseph C. Oefelein, Adam M. Steinberg, and Masayuki Yano. "Reducing the cost of ensemble-based data assimilation in multiple-query scenarios through covariance augmentation." AIAA Propulsion and Energy Forum, 2021.
Anna Taddio, Andrew F. Ilersich, Anthony N. Ilersich, and Jenny Wells. "From the mouth of babes: getting vaccinated doesn't have to hurt." Canadian Journal of Infectious Diseases and Medical Microbiology, 25:470261, 2014.
Theses
Andrew F. Ilersich, Adam M. Steinberg, and Masayuki Yano. "Reducing the cost of ensemble-based data assimilation in multiple-query scenarios through covariance augmentation." Master's Thesis, University of Toronto, 2021.
Andrew F. Ilersich and Christopher J. Damaren. "Spacecraft attitude control by magnetic actuation and double-gimbal variable-speed control moment gyroscope." Undergraduate Thesis, University of Toronto, 2019.