Current Position
Feb–Apr 2026
Visiting Researcher
INRIA Paris (hosted by Alexandre d'Aspremont)
2024–present
Deep Learning Research Lead of iol.LEARN
Interactive Optimization and Learning Lab, Zuse Institute Berlin
2021–present
Doctoral Researcher
Interactive Optimization and Learning Lab, Zuse Institute Berlin
Education
2021–present
PhD Candidate in Mathematics
Technische Universität Berlin
- Effective and Efficient Prune-Retrain Pipelines for Neural Network Compression
- Advisor: Prof. Dr. Sebastian Pokutta
- Member of the Berlin Mathematical School graduate school, MATH+ Cluster of Excellence
2018–2021
MSc in Mathematics
Technische Universität Berlin
- Sparsity in Neural Networks — Structured Training and the Importance of the Learning Rate
- Advisor: Prof. Dr. Sebastian Pokutta
2016–2017
Semester abroad
Università di Bologna — Alma mater studiorum, Bologna, Italy
2013–2017
BSc in Mathematics
Technische Universität Berlin
- Nash Flows over Time — Models and Computation
- Advisor: Prof. Dr. Martin Skutella
Experience
2020–2021
Student Research Assistant
Interactive Optimization and Learning Lab, Zuse Institute Berlin
2020
Research Intern
Data Science, Machine Learning, and Information Theory Group, IST Austria, Vienna
- Hosted by Prof. Marco Mondelli
2018–2020
Student Research Assistant
Combinatorial Optimization & Graph Algorithms Group, Technische Universität Berlin
2018
Research Intern
Department of Industrial Engineering, University of Naples Federico II, Italy
- Hosted by Prof. Sergio De Rosa
2013–2017
Student Trainee
Dassault Systèmes, Berlin
2012–2013
Intern
High Engineering Group, Florence, Italy