## MSc. Applied Maths, Computer Vision, Machine Learning

*École Normale Supérieure Paris-Saclay*, France

#### September 2019 - November 2020

During this year I had the chance to study various topics at the intersection of mathematics and computer science.

I was particularly interested in topics such as computational statistics, optimisation, and kernel methods.

Some courses I followed during this year:

- Computational statistics
- Topological data analysis
- Convex optimisation
- Foundations of distributed and large scale computing optimization
- Probabilistic graphical models
- Kernel Methods for Machine Learning
- Remote sensing data: from sensor to large-scale geospatial data exploitation
- Random matrix theory
- Longitudinal data analysis: geometric and statistical approaches
- Multi-Scale models and convolutional neural networks
- Point cloud modeling and processing

I am pleased to have graduated with “*High Honors*“.

## Visiting Student

*National University of Singapore*, Singapore

#### August 2018 - December 2018

I had the chance to study as a visiting student at NUS during my curriculum
at the *Université de Technologie de Compiègne*.

Some courses I followed in mathematics and computer science:

- CS5242 - Neural Networks and Deep Learning
- CS4234 - Optimisation Algorithms
- ST4231 - Computer Intensive Statistical Methods
- MA4270 - Data Modeling and Computation

## MSc. Computer Science

*Université de Technologie de Compiègne*, France

#### September 2014 - June 2019

The *Université de Technologie de Compiègne* is kind of a special university in France.

There, I had the chance, choice and freedom to study applied mathematics, computer science and engineering, languages and humanities.

The last two years focused on a data analysis course work. I also got two minors: one in mathematical modeling and another in philosophy of technology.

Some subjects in mathematics and computer science I studied:

- Numerical Analysis
- Fourier Analysis
- General Algebra and Applications
- Statistics
- Data Analysis and Machine Learning
- Object-oriented Design and Programming in C++
- RDBS and database design
- Discrete and Convex Optimisation