Publications:

A Machine Learning-Based Algorithm for the Prediction of Eigenfrequencies of Railway Bridges:

Studies:

Early Studying Program at TU-Berlin:

(SoSe 23 - SoSe 24)

  • Partook in early studying program at TU-Berlin, attended total of 56 ECTS credits
  • Took courses in Datastructures and Algorithms, Real Analysis, Linear Algebra, Probability Theory and Nonlinear Optimization

Dual bachelor at TU-Berlin

(WiSe 24/25 - Ongoing)

  • Dual majoring in Mathematics B.Sc. and Computer Science B.Sc. at TU-Berlin

Mathematics B.Sc.

(155 / 180 credits, Average 1.6 To-Date)

  • Specialising in applied probability theory, stochastic optimization and statistical learning
  • Notable courses:
    • Probability Theory 2 (1.0)
      • Main theorems of measure-theoretic probability theory
      • Construction of stochastic processes with Ionescu-Tulcea and of brownian motion in particular
    • Stochastic Models (1.7)
      • Modelling and analysis with continuous and discrete (markov-) processes
    • Stochastic Optimization and Reinforcement Learning (1.0)
      • Theory of Markov Decision Processes, Bellmann equations
      • Convergence guarantees for online reinforcement learning settings
    • Seminar Stochastic Optimization and Reinforcement Learning in Finance
      • Presented on paper on convergence guarantees of proximal policy optimization
    • Mathematical Foundations of Machine Learning
      • Theoretical foundations of statistical learning in Probably-Approximately-Correct (PAC) learning framework
    • High-Dimensional Optimization and Learning
      • Theory of convex optimization and online learning

Computer Science B.Sc.

(108 / 180 credits, Average 1.7 To-Date)

  • Specialization in machine learning, robotics and distributed systems
  • Notable courses
    • Robotics: Fundamentals
    • Distributed Systems
    • Algorithms for Distributed Systems
    • Information Systems and Data Analysis
    • Cognitive Algorithms

Other experience