Andrew F. Ilersich and Prasanth B. Nair. "Learning stochastic multiscale models." arXiv preprint, June 2025. papercode
Andrew F. Ilersich and Prasanth B. Nair. "Deep learning with Gaussian continuation." Foundations of Data Science, 7(3): 790-813, 2025. papercode
Andrew F. Ilersich and Suraj Bansal. "Conceptual aerodynamic design considerations for a fixed-wing microgravity UAV." AIAA Aviation Forum, June 2023. paper
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. paper
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, July 2021. paper
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, January 2014. paper
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. thesis
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. thesis