Research

My research is in applied topology. I'm currently learning about how topology can be used to understand neural connectivity at the Army Research Lab, continuing the work I did with the Maroulas Research Group. My PhD project was with DELTA, which looks at energy landscapes of alkanes and their persistent homology.

"DialectDecoder: Human/Machine Teaming for Bird Song Classification and Anomaly Detection"

Brittany Story, Patrick Gillespie, Graham Derryberry, Elizabeth Derryberry, Nina Fefferman and Vasileios Maroulas

Ecological Informatics (Initial Submission September 2023 -- Currently in formatting stage)

"A Topological Deep Learning Framework for Neural Spike Train Decoding"

Edward Mitchell, Brittany Story, David Boothe, Piotr J. Franaszczuk, Vasileios Maroulas

Biophysical Journal (February 2024)

"Additive energy functions have predictable landscape topologies"

Brittany Story, Biswajit Sadhu, Henry Adams, and Aurora Clark

The Journal of Chemical Physics (2022).

"Support vector machines and Radon's theorem"

Henry Adams, Elin Farnell, and Brittany Story

Foundations of Data Science (2022).

"A Survey of Mathematical Structures for Lunar Networks"

Alan G. Hylton, Robert Short, Jacob Cleveland, Sriram Gopalakrishnan, Micheal Moy, Devavrat Vivek Dabke, Brittany Story, Robert Cardona,

Robert Green, Justin Curry, Olivia Freides, Zara Memon

IEEE Aerospace Conference (2022).

"The Impact of Changes in Resolution on the Persistent Homology of Images"

Teresa Heiss, Sarah Tymochko, Brittany Story, Adélie Garin, Hoa Bui, Bea Bleile, Vanessa Robins

Workshop on Applications of TDA to Big Data at IEEE BigData (2021).

"A torus model for optical flow."

Henry Adams, Johnathan Bush, Brittany Carr, Lara Kassab, and Joshua Mirth.

Pattern Recognition Letters, 129 Topological Analysis and Recognition (2020).

``Molecular Representations for Machine Learning''

Grier Jones, Brittany Story, Vasileios Maroulas, and Konstantinos D. Vogiatzis

ACS In Focus -- American Chemical Society -- 2023