Education
PhD in Physics
2020 - 2024
Vrije Universiteit Amsterdam / AMOLF
- Thesis: Quantifying the Flow of Information (defended June 13, 2025)
- Graduated cum laude
- Promotor: Prof. Pieter Rein ten Wolde, Copromotor: Prof. Gašper Tkačik
Master of Science in Physics
2018 - 2020
Ludwig-Maximilians-Universität (LMU), Munich
Bachelor of Science in Physics
2014 - 2018
Ludwig-Maximilians-Universität (LMU), Munich
- Erasmus exchange semester at Universidad Autónoma de Madrid, Spain (2016)
Research Experience
Junior Researcher, Biophysics
2024 - 2025
AMOLF, Amsterdam
Applying ML-PWS to neuronal data
PhD Researcher, Biophysics
2020 - 2024
AMOLF, Amsterdam - Biochemical Networks Group
Main achievements:
- Developed PWS, the first exact algorithm for computing the information transmission rate
- Testing and evaluation of PWS on realistic problems including bacterial chemotaxis (182-reaction system)
- Pioneered a Machine Learning approach (ML-PWS) to apply PWS to experimental data
- Published in Physical Review X and submitted articles to high-impact journals
- Presented work at national and international conferences
Nov-Dec 2023: Research stay at IST Austria collaborating with Gašper Tkačik’s group on neuronal data analysis
Research Internship
2019 - 2020
AMOLF, Amsterdam
Master’s thesis research: Developing Monte-Carlo simulations for analyzing information transmission and processing efficiency in cell signaling
Design and Implementation of Digital Language Course “SpanishIN”
2018
LMU, Munich
Developed Moodle-based digital learning platform for university-level Spanish students
Teaching
Teaching Assistant, Master Course
2021 - 2022
Vrije Universiteit, Amsterdam
Course: Soft Condensed Matter Physics and Biological Physics
Teaching Assistant, 1st Year Course
2017 - 2018
LMU, Munich
Course: Mathematical Methods for Physicists
Physics Lab Supervisor
2015 - 2016
LMU, Munich
Supervised physics lab for medical students
Languages
- German: Native speaker
- Spanish: Native speaker
- English: Very good (C1/C2)
- Dutch: Good (B2)
Technical Skills
- Programming: Julia, Python, Rust, MATLAB
- Computational Methods: Monte Carlo simulation, MCMC, Particle filtering, Machine learning, Statistical physics
- Research Areas: Information theory, Stochastic processes, Computational biology, Biochemical networks
- Tools: Git, LaTeX, Jupyter, Moodle, Scientific computing