Publications

While Reinforcement Learning (RL) approaches lead to significant achievements in a variety of areas in recent history, natural language …

We investigate the use of ellipsoidal trust region constraints for second-order optimization of neural networks. This approach can be …

Gradient-based optimization methods are the most popular choice for finding local optima for classical minimization and saddle point …

Experience

 
 
 
 
 
August 2018 – Present
Zurich, Switzerland

PhD Student

Data Analytics Lab, ETH Zurich

Research:

  • Natural Language Processing
  • Non-Convex Optimization
 
 
 
 
 
September 2016 – June 2018
Zurich, Switzerland

MSc Computer Science

ETH Zurich

GPA: 5.71 / 6

Thesis: Non Convex-Concave Saddle Point Optimization

Focus:

  • Machine Learning
  • Information Systems
 
 
 
 
 
July 2015 – November 2016
Heidelberg, Germany

Software Engineer

sovanta AG

Software Design and Development of native iOS and Android Apps for business customers.
 
 
 
 
 
October 2013 – August 2016
Karlsruhe, Germany

BSc Electrical Engineering

Karlsruhe Institute of Technology

Programming Skills

Python

ML Frameworks

PyTorch, Tensorflow

R

iOS Development

Swift, Objective-C

VCS

git

DevOps

Teaching Assistant

Feb 2019 – Jun 2019

Natural Language Understanding

ETH Zurich

Sep 2018 – Dec 2018

Deep Learning

ETH Zurich

Sep 2017 – Dec 2017

Machine Learning

ETH Zurich

Contact

  • CAB F 42.1, Universitätstrasse 6, 8092 Zürich, Switzerland