Skip to content
View svengiegerich's full-sized avatar

Block or report svengiegerich

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
svengiegerich/README.md

Hi there 👋

About me

  • I'm a trained MSc. Data Scientist (@Oxford) and Economist (@Mannheim) from Germany 💻
  • I'm interested in research topics within the domain of {market design, deep learning, computational social science} 🔭.
  • My work was featured in major German newspaper like Die Zeit, Frankfurter Allgemeine Zeitung, and Wirtschaftswoche.

Software

Projects

"A worker is known by his towls. A shovel for a man who disg. An ax for a woodsman. The econometrican runs [models]." (Angrist and Pischke, 2014)

  • Reischmann, T., Klein, T., Giegerich, S. (*). 2021. An iterative deferred acceptance mechanism for decentralized, fast and fair childcare assignment. Journal for Market and Institutional Design.

  • Wood, K., Giegerich, S., Roberts, S., Zohren, S. 2021. Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture. Working paper, arxiv: 2112.08534 [cs.LG].

    • https://arxiv.org/abs/2112.08534
    • Abstract: We propose a novel ML architecture based on the popular Transformer to predict quite noisy financial time series. It seems the model predicts better than before.
    • @ Oxford-MAN Institute of Quantitive Finance

Reach me

Press Coverage

News

  • 06/2021: The Kita-Match paper is accepted at the Journal for Market and Institutional Design.
  • 12/2021: Yeah! First, thanks to Thilo & Tobias, my bachelor thesis, the software Kita-Match, is included into what is now officially my first co-authored publication. Second, thanks to Kieran & Stefan, we merged parts of my master thesis in Ox with their own work and the result is now accessible on arxiv.org as well. Thanks to all of you! ✨

@svengiegerich's activity is private