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 3209. You can contact us at

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.


Current schedule can be found here.

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


  • 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.


Single cell mapper analysis

Next-generation high-throughput sequencing has generated an explosion of available genomic data. That holds a great potential for exploring biological systems with unprecedented resolution at the single-cell level. However, single-cell sequencing yields complex data output and implies technical challenges to traditional computational methods, which are mostly based on clustering and combinatorics. In this talk we will give a general perspective on the challenges and advances in the field of single-cell and associated data analysis problems. We put special emphasis on topological techniques.


  • Data Science and Applied Topology Seminar
  • Reading list