I am a computer science student in the last year of my master's program at Hasso-Plattner-Institute in Potsdam.
I am passionate about finding ways to apply advances in machine learning to real-world environments.

My main interests include deep reinforcement learning with continuous action spaces, deep learning for natural language processing, especially using word vectors, and representation learning on 2D/3D imaging data. My vision is to apply state-of-the-art machine learning techniques to real problems, which is why I chose to become a design thinker, trying to find the most pressing needs of industry today. In my freetime I liked to travel the world when it was still possible, but now prefer to play a good piece of music on my piano at home.

Selected Projects

Design thinking project VAMO

F. Cabral, W. Lötzsch, S. Shah, Z. Zhou, S. Serth, S. Krogmann

The goal of this design thinking challenge was to improve the every day lifes of people and their communication by using artificial intelligence. The final product focused especially on the target user group of families by introducing a specialized AI device to the household. More info about the project can be found on the webpage of Prof. Hasso Plattner's chair at Hasso-Plattner-Institute.

Using Deep Reinforcement Learning for the Continuous Control of Robotic Arms

W. Lötzsch, bachelor's thesis

The aim of this project was to reduce training time for deep reinforcement learning problems using two strategies, namely: a newly created combination of two commonly used reinforcement learning methods, a comparison of different ideas to preprocess information before it is fed to the reinforcement learning algorithm. A concluding evaluation proves the general applicability of the described concepts by testing them using a simulated environment.

Short bio

I am about to complete my master's degree in computer science at the Hasso-Plattner-Institute in Potsdam with a main focus on machine learning. I have most of all worked with self-supervised techniques for representation learning on images and volumetric data, natural language processing, and deep reinforcement learning. Recently, I started researching deep learning-based image compression.
I was a design thinking coach within the Sugar Network, collaborating with international partners like Huawei, BMW or the Stanford University to create the innovations of tomorrow. I have been an Erasmus student at the private engineering school EFREI in Paris and obtained my bachelor's degree from the University of Chemnitz in computer science. I have collected 3 years of part-time industry experience in the IT department of the airbag manufacturer Takata.