Aaron Kirtland

I am a PhD student in applied math at Brown University interested in sequential decision making and cognitively-inspired AI. I am supported by an NSF-GRFP award.

I graduated in 2021 from Washington University in St. Louis, and then I thru-hiked the Pacific Crest Trail and studied in Taiwan on a gap year. In my spare time, I enjoy studying Chinese and going outdoors ².

Feel free to reach out if you would like to chat about research or explore some trails!

Blog / CV

Email / Github / Google Scholar / Twitter

	Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy Cameron Allen, Aaron Kirtland*, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris NeurIPS, RLC Finding the Frame workshop, and ICML FoRLaC workshop, 2024
	An Unstructured Mesh Approach to Nonlinear Noise Reduction for Coupled Systems Aaron Kirtland, Jonah Botvinick-Greenhouse, Marianne DeBrito, Megan Osborne, Casey Johnson, Robert S. Martin, Samuel J. Araki, Daniel Q. Eckhardt SIAM Journal on Applied Dynamical Systems, 2023
	The polynomial learning with errors problem and the smearing condition Liljana Babinkostova, Ariana Chin, Aaron Kirtland, Vladyslav Nazarchuk, Esther Plotnick* Journal of Mathematical Cryptology, 2022
	The Ring Learning with Errors Problem: Spectral Distortion Liljana Babinkostova, Ariana Chin, Aaron Kirtland, Vladyslav Nazarchuk, Esther Plotnick* Accepted with minor revisions to Involve, A Journal of Mathematics, 2022
	Preparing cuprous oxide nanomaterials by electrochemical method for non-enzymatic glucose biosensor Thu-Thuy Nguyen, Bui The Huy, Seo-Young Hwang, Nguyen Minh Vuong, Quoc-Thai Pham, Nguyen Ngoc Nghia, Aaron Kirtland, and Yong-Ill Lee Nanotechnology, 2018

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