The CUNY Data Science and Applied Topology Reading Group is joint between the Mathematics and Computer Science programmes. We meet Fridays 11.45 -- 12.45 in GC 4419. You can contact us at cunygc@appliedtopology.nyc.

Our plan is to primarily read and discuss seminal papers in data science, in applied topology and in topological data analysis. Each seminar one participant takes the responsibility to present a paper and prepare items for discussion. We expect occasionally to be able to invite external speakers.

Schedule

Current schedule can be found here.

We will be sending out announcements through a mailing list; you can subscribe here.

Organizers

  • Mikael Vejdemo-Johansson, Computer Science Programme, CUNY Graduate Center; Department of Mathematics, CUNY College of Staten Island
  • Azita Mayeli, Mathematics Programme, CUNY Graduate Center; Department of Mathematics, CUNY Queensborough Community College

Suggested papers

We have compiled a list of papers that might be interesting to present.

Schedule

Coding and Generative Design for 3D Printing

3D printing and design allows us to physically experience complex mathematical objects. In this talk we’ll take a 3D-printed tour of mathematical knots, tessellations, fractals, and polyhedra. Using code and generative design we can create parametric models that leverage randomness to achieve structural variety or even organic-looking behavior. We’ll also talk about iterative design, the ability to “learn by failing,” and the importance of being open to sharing that process, both in the 3D design process and in mathematical exploration.

(I also have two "homework" assignments for anyone that wants to try things themselves afterwards)

Bio: Laura Taalman is a Professor of Mathematics at James Madison University whose research has included algebraic geometry, knot theory, and games. Also known as “mathgrrl”, Dr. Taalman is a computational designer who leverages a diverse toolbox of 3D design software and technical materials to create elegant and aesthetic realizations of idealized mathematical objects. She is a Project NExT Fellow, a recipient of the Alder Award, Trevor Evans Award, and SCHEV Outstanding Faculty Award, and has been featured on Thingiverse, Adafruit, and Science Friday.


Pages

  • Data Science and Applied Topology Seminar
  • Reading list