Biography

I am a PhD Student at the Budapest University of technology and Economics. My research interests include graphical models and nonparametric statistics. My PhD supervisor is Marianna Bolla.

Interests
  • Graphical models
  • Nonparametric statistics
  • Deep Learning
  • Python
  • LaTeX
Education
  • PhD in Mathematics, ongoing

    Budapest University of Technology and Economics

  • MSc in Applied Mathematics, financial mathematics spec., 2018

    Budapest University of Technology and Economics

  • BSc in Mathematics, applied spec., 2016

    Budapest University of Technology and Economics

Experience

 
 
 
 
 
Teaching as PhD student
Budapest University of Technology and Economics
Sep 2018 – Present
Taught mathematics (mainly probability theory and statistics) to undergraduate (mainly in electrical engineering and mathematics) students.
 
 
 
 
 
Intern
Morgan Stanley
Aug 2017 – Mar 2018 Budapest
Model Risk Management internship in the Institutional Equity Division. Writing and maintaining model review documents for exotic equity-based financial products from model risk perspective.

Skills

Python
Statistics
Probability
R
Swimming

Teaching

I teach Hungarian courses, for the relevant material, navigate to my Hungarian website.

Accomplish­ments

Statistical Learning in the Nervous System
The course aims to cover a few topics in the functional description of the nervous system with special focus on statistical methods.
Deep Learning in Practice with Python and LUA
Practical deep learning course for BSc, MSc and PhD students at Budapest University of Technology and Economics.

Contact