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Studies

Education

Nov 2020 - now
University of Groningen
Doctor of Philosophy
Groningen, Netherlands

Joined the MINDS research group at RUG as part of the European post-digital training network. The post-digital network's goal is to facilitate the interdisciplinary education and research needed for the design and development of unconventional computing systems. At MINDS, we try to understand how intelligent information processing can arise from dynamics in nonlinear material substrates. We are working toward a fundamental theory of computing in brainlike materials, grounded both in physics and mathematics.

More information: MINDS, Post-digital ETN.

Sep 2016 - Jun 2019
Jacobs University
Computer Science (B.Sc.)
Bremen, Germany

Studied computer science with a focus on artificial intelligence and deep neural networks. Won Dean's best thesis award for thesis on "Automated Architecture Design for Deep Neural Networks" (see publications).

Sep 2018 - Dec 2018
Carnegie Mellon University
Exchange semester
Pittsburgh, USA

Spent one semester at Carnegie Mellon, taking graduate-level courses in artificial intelligence and deep learning and working in the DELPHI research group (see below).

Oct 2015 - Jul 2016
Karlsruhe Insitute of Technology
Physics (B.Sc. - incomplete)
Karlsruhe, Germany

Studied physics and mathematics for one year before transferring to Jacobs University Bremen.


Work

Experience

Sep 2017 - May 2019
Teaching Assistant
Jacobs University
Bremen, Germany
  • Introduction to Computer Science, Fall '17
  • Algorithms and Data Structures, Spring '18
  • Machine Learning, Spring '19 (as head TA)
Jun 2018 - Aug 2020
Machine Learning Intern
Bloomberg LP
London & New York

Spent three summer internships at Bloomberg LP. Worked in the software engineering department on different machine learning projects with financial derivatives.

Worked in London 2018, in New York 2019, in London 2020.

Sep 2018 - Dec 2018
Research Assistant
Carnegie Mellon University
Pittsburgh, USA

Worked in the DELPHI research group at CMU on epidemiological forecasting using machine learning methods. Worked with two PhD students on expanding the existing nowcasting system for influenza to dengue and norovirus.

Oct 2015 - Aug 2017
Mobile Software Developer
arconsis GmbH
Karlsruhe, Germany

Worked part-time during the semester and full-time during the summer break as a software developer on cross-platform mobile applications.

∆ steven abreu 2020