Mikael Vejdemo-Johansson
Mikael Vejdemo-Johansson (pronounced like Michael Vey-demo Johansson).
As of the Fall semester, 2016, I am Assistant Professor of Data Science at the mathematics department of CUNY College of Staten Island.
As of the Spring semester, 2017, I am Doctoral Faculty in the PhD program in Computer Science at the CUNY Graduate Center. Since 2019 I have been Deputy Executive Officer for the joint PhD in Computer Science and MSc in Data Science programs.
Contact
If you are a student, please use Mikael.VejdemoJohansson@csi.cuny.edu
. All other inquiries, please use mvj@math.csi.cuny.edu
. My office on CUNY College of Staten Island, Willowbrook campus, is 1S-208. At the Graduate Center, my office is 4319.02. I prefer contact by email over contact by telephone.
Research
My main area of interest is in applied algebraic topology and topological data analysis: how to compute the shape of a data set, and how to use that shape to understand the underlying data.
A large collection of lecture slides, written papers and other information can be found on my CV website.
I have helped create several software packages for persistent homology, most recently JavaPlex.
I am chair of the coordinating committee of the ATMCS conference series.
Among my many side projects is an enumeration of possible tieknots. To go with this paper, I wrote a webpage with a random tieknot generator.
Teaching
Students
Here are incomplete lists of students I have worked with either to advise thesis projects or to supervise independent studies.
Thesis Students
- Denis Khryashchev (GC), PhD, Partially monotonic correlation coefficients
- Hannah Aizenman☥ (GC), PhD, Topological Data Visualization
- F19 Shweta Garg (GC), MSc, Spatial Data Analysis
- Leo Carlsson☥ (KTH), PhD 2021, Applied Machine Learning in Steel Process Engineering
- João Frederico Carvalho☥ (KTH), PhD 2020, Topological Methods For Motion Prediction And Caging
- Martina Scolamiero☥ (KTH), PhD 2015, Invariants for Multidimensional Persistence
- Timothy Sweeney, BSc 2017, A Study of Taxi-Cab Driver’s Times between Trips
☥ means I was/am co-advisor.
Independent Studies
- F22 Alisa Leshchenko, Mathematical Statistics with Statistical Software
- F22 Miao Qin Xie, Data Science in Python
- F22 Denis Gostev (GC), Spatial Data Analysis
- F19 David Angeles, Joshua Higgins, Bayesian Data Analysis
Courses
Spring 2023
- MTH410: Mathematical Statistics
- CUNY Graduate Center: Data Visualization
Fall 2022
- MTH229: Calculus Computer Laboratory
- HON223: Macaulay Honors Seminar on Science and Technology of New York
Spring 2022
- MTH513: Machine Learning (now MTH372: Practical Machine Learning)
- CUNY Graduate Center: Data Visualization
Fall 2021
- HON223: Macaulay Honors Seminar on Science and Technology of New York
Spring 2021
- MTH113: Introduction to probability and statistics with computer applications
Fall 2020
- HON223: Macaulay Honors Seminar on Science and Technology of New York
Spring 2020
Fall 2019
- HON223: Macaulay Honors Seminar on Science and Technology of New York
Spring 2019
Fall 2018
- MTH232: Calculus II
- MTH214: Applied statistics and programming
Spring 2018
Fall 2017
- MTH 214: Applied statistics and programming
- MTH 231: Calculus I
Spring 2017
- MTH 214: Applied statistics and programming
- MTH 338: Linear Algebra
Fall 2016
Art
I have a simmering interest in mathematical art, especially using laser cutters, 3d printers and other modern small-scale manufacture techniques.
I exhibited at the Joint Mathematics Meetings 2020.
I exhibited in the group show Mathematical Beauty at the AAAS Gallery.
I exhibited at the Joint Mathematics Meetings 2019.
I exhibited and gave an invited lecture at the Bridges Mathematical Art Conference 2018.
I exhibited at the Joint Mathematics Meetings 2012.
I am helping to launch the Illustrating Mathematics community. Currently the best place to get to know us is at our wiki.