Research
Papers and Preprints
For the most up to date list of publications, see my google scholar page here.
A Topological Approach for Motion Track Discrimination
Tegan H. Emerson, Sarah Tymochko, George Stantchev, Jason A. Edelberg, Michael Wilson, and Colin C. Olson
Research in Computational Topology 2, 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, and Vanessa Robins
Proceedings of 2021 IEEE International Conference on Big Data, 2021.
Con Connections: Detecting Fraud from Abstracts using Topological Data Analysis
Sarah Tymochko, Julien Chaput, Timothy Doster, Emilie Purvine, Jackson Warley, and Tegan Emerson
Proceedings of 20th IEEE International Conference On Machine Learning And Applications (ICMLA), 2021.
Classifying Sleep States Using Persistent Homology and Markov Chain: a Pilot Study
Sarah Tymochko, Kritika Singhal, and Giseon Heo
Advances in Data Science, 2021.
Argumentative Topology: Finding Loop(holes) in Logic
Sarah Tymochko, Zachary New, Lucius Bynum, Emilie Purvine, Timothy Doster, Julien Chaput, and Tegan Emerson
arXiv:2011.08952, 2020.
Using Zigzag Persistent Homology to Detect Hopf Bifurcations in Dynamical Systems
Sarah Tymochko, Elizabeth Munch, and Firas A. Khasawneh
Algorithms, 2020.
Using Persistent Homology to Quantify a Diurnal Cycle in Hurricane Felix
Sarah Tymochko, Elizabeth Munch, Jason Dunion, Kristen Corbosiero, and Ryan Torn
Pattern Recognition Letters, 2020.
Adaptive Partitioning for Template Functions on Persistence Diagrams
Sarah Tymochko, Elizabeth Munch, and Firas A. Khasawneh
Proceedings of 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019.
Chatter Diagnosis in Milling using Supervised Learning and Topological Feature Vectors
Melih Yesilli, Sarah Tymochko, Elizabeth Munch, and Firas Khasawneh
Proceedings of 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019.
Fairest Edge Usage and Minimum Expected Overlap for Random Spanning Trees
Nathan Albin, Jason Clemens, Derek Hoare, Pietro Poggi-Corradini, Brandon Sit, and Sarah Tymochko
Discrete Mathematics, 2021.
Other Written Work
Topological Approaches for Quantifying the Shape of Time Series Data
Sarah Tymochko
PhD Dissertation, 2022.
Teaspoon: A Comprehensive Python Package for Topological Signal Processing
Audun D. Myers, Melih Yesilli, Sarah Tymochko, Firas Khasawneh, and Elizabeth Munch
Topological Data Analysis and Beyond Workshop at NeurIPS, 2020.
Media
Topological Analysis of Complex Networks
Sarah Tymochko and Audun Myers
SIAM DSWeb Media Gallery, 2022.
In grad school I was interviewed on the "Journeys of Scientists" podcasts hosted by Michigan State University WaMPS (Women and Minorities in the Physical Sciences) graduate student organization. You can find my episode here: