Interests: Data science; nonlinear dynamics and pattern formation; mathematical modeling; mathematical biology; applied computational topology; educational psychology and learning science; technology; diversity; art
Diversity in art museums: Check out my data science work assessing diversity of artists held in the collections of major U.S. art museums.
Algorithmic abstract art: My mathematical modeling students made some gorgeous works inspired by Takenaga, Walkowitz, Albers, Davis, and Rosenquist.
Graphical syllabi: If you came here seeking info about my graphical syllabi, here is an example.
Equity, diversity, and inclusion: Want concrete ideas for improving equity, diversity, and inclusion in academia? See my top-10 list.
Trending articles (all are open access):
- Assessing biological models using topological data analysis (Ulmer, Ziegelmeier, and Topaz)
- Gender representation on journal editorial boards in the mathematical sciences (Topaz and Sen)
- Topological Data Analysis of Biological Aggregation Models (Topaz, Ziegelmeier, and Halverson)
- Flipped Calculus: A Study of Student Performance and Perceptions (Ziegelmeier and Topaz)
Support: I’m grateful to be supported by the National Science Foundation since 2006, currently by grant DMS-1813752, Variational and Topological Approaches to Complex Systems (2018 – 2021). The views expressed on my website are my own and do not in any way represent the NSF.