# 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.