As an assistant professor, I am involved with the supervision of PhD, MSc, and Bsc students. Here is an overview of the students that I supervise.

# Currently under my supervision

## PhD candidates

Students who have finished their MSc education at a university, can apply for a position as a PhD candidate. Over the course of four years, PhD candidates learn to conduct original research, independently. At the end of their four year program, each PhD candidate writes a thesis and defends their work in front of a committee. If their defense goes well, the candidate is awarded the highest academic degree: *Doctor of Philosophy*, i.e., PhD.

I am currently supervising the following PhD students:

**Alexander Van Werde**

PhD student

Eindhoven University of Technology

Mathematics & Computer Science

*Publications*

- Jaron Sanders, Alexander Van Werde (2022).
. Preprint. ArXiv 2204.13534.**Singular value distribution of dense random matrices with block Markovian dependence**

*Conference Contributions*

- Poster
Singular value distribution of random matrices with block Markovian dependence at the XVII Brunel-Bielefeld Workshop, 2021.

*Teaching*

- 2WB20 Stochastic Processes, academic year 2021 – 2022 at TU Eindhoven

**Gianluca Kosmella**

PhD student

Eindhoven University of Technology

Mathematics & Computer Science / Electrical Engineering

*Teaching*

- 2WH10 Effectiveness of Mathematics, academic year 2021 – 2022 at TU Eindhoven
- 5EMA0 Mathematics for Electrical Engineering (Probability Part), academic year 2021 – 2022 at TU Eindhoven

**Albert Senen-Cerda**

PhD student

Eindhoven University of Technology / Delft University of Technology

Mathematics & Computer Science / Engineering, Mathematics and Computer Science

*Publications*

- Jaron Sanders, Albert Senen-Cerda (2021).
. Preprint. ArXiv 2111.06201.**Spectral norm bounds for block Markov chain random matrices** - Oxana A. Manita, Mark A. Peletier, Jacobus W. Portegies, Jaron Sanders, Albert Senen-Cerda (2022).
. Journal article. Journal of Machine Learning Research, 23(19):1-46. [Preprint].**Universal Approximation in Dropout Neural Networks** - Albert Senen-Cerda, Jaron Sanders (2020).
. Accepted for publication at ACM SIGMETRICS 2022. ArXiv 2012.01978. Code repository.**Asymptotic convergence rate of Dropout on shallow linear neural networks** - Albert Senen-Cerda, Jaron Sanders (2020).
. Preprint. ArXiv 2002.02247.**Almost Sure Convergence of Dropout Algorithms for Neural Networks**

*Conference Contributions*

- Poster
Spectral norm bounds for Block Markov Chain random matrices at the XVII Brunel-Bielefeld Workshop, 2021.

*Teaching*

- 2DI70/2MMS80 Statistical Learning Theory, academic years 2019 – 2022 at TU Eindhoven
- 2DL40 Advanced Calculus, academic year 2019 – 2020 at TU Eindhoven
- EE2T21 Data Communications Networking; academic year 2018 – 2019 at TU Delft

*Supervision*

- Rens Hoogendorp, academic year 2020 – 2021

Here is a list of PhD students I was (partially) involved with in the past:

**Long Ma**

PhD student

Delft University of Technology

Engineering, Mathematics and Computer Science

*Publications*

- Long Ma, Jaron Sanders (2019).
. Accepted for the 14th EAI International Conference on Performance Evaluation Methodologies and Tools (Valuetools). ArXiv 1909.04432. Code repository.**Markov chains for error accumulation in quantum circuits**

## MSc students

In order to graduate from university, students need to write a MSc thesis. The MSc thesis is the culmination of approximately 6-9 months of project work (depending on the university) in either an academic research group, or in collaboration with a company.

Here is a list of students that I supervised in the past:

**Marleen Roozen**(TU Eindhoven, academic year 2020-2021) completed a company internship and MSc project on the topic ofReconstruction of phylogenetic trees in cross-bred plants

.**Jori van Falier**(TU Eindhoven, academic year 2020-2021) succesfully completed his internal MSc thesis titledTowards proving a Marchenko–Pastur law for dependent random matrices with decaying covariances

.**Daan Rutten**(TU Eindhoven, academic year 2019-2020), did a MSc research internship at Network Architectures and Services.**Jinghui Jiang**(TU Delft, academic year 2018-2019) did a company internship at the Koninklijke KPN N.V. SheOptimized KPN’s Customer Assurance Process

.**Pascal Lagerweij**(TU Delft, academic year 2018-2019) successfully defended his MSc thesis Reinforcement Learning in Block Markov Chains on March 29th, 2019.

## BSc students

While not mandatory, Bachelor students sometimes have the ambition to undertake an internship with companies, or would like to do a small project in a research group.

In the past, I’ve helped the following students:

**Luuk Gubbels**(TU Eindhoven, academic year 2019-2020) did a BSc project onRegulating open and closed particle networks using Misanthrope processes

.**Willem van Wijk**(TU Eindhoven, academic year 2019-2020) did a BSc project titledA brief exploration into divergent series in probability theory

.**Jilles Noordhoek**(TU Delft, academic year 2018-2019) finished an internship at Prodrive Technologies.

## Collaboration / Education

If you are interested in collaborating with me, be sure to check out the opportunities here! If you are looking for information regarding the courses that I teach, have a look here.