Interests: Data science; applied computational topology; nonlinear dynamics and pattern formation; mathematical modeling; mathematical biology; 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. This paper has been accepted for publication in the journal PLOS One and will soon appear. Press and social media for this work:
- MIT Technology Review
- National Museum of Women in the Arts
- The Kojo Nnamdi Show
- High Snobiety
- San Francisco Chronicle
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.