iseratho / iseratho.github.io

Markus Reiter-Haas is a researcher at Graz University of Technology. He is part of the Recommender Systems and Social Computing Lab at the Institute of Interactive Systems and Data Science. His thesis focuses on polarization and framing in online media using computational models grounded in social science theories. His research interests include contextualized embeddings and semantic representations in natural language processing, with a focus on the Transformer architecture. He has a background in information retrieval in the industry, where he was responsible for the deep-learning recommender system of a job platform. He published in international renowned venues such as RecSys, ICWSM, and SSCR. Likewise, he supports the scientific community by providing reviewing services to the top conferences in the field of computer science, such as WWW, SIGIR, and ACL.

Structure

My Website is structured as follows.
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CV

A very brief summary of his background (e.g., his education and experiene in data science) is also provided below.

Research

Displays ORCID record. Current focus on applying Transformer models for Text Understanding.

PhD Project

He is part of a research group that deals with polarization in public opinion.

PhD Thesis

His thesis deals with computational framing analysis.

Teaching

Currently teaching Advanced Information Retrieval.

Materials

List of other relevant materials, such as scientific presentations and posters for conferences.

Blog Posts

Currently Blogging a critical reflection on LLMs in light of Transformer models.

Very Short CV

Education

• Doctorate in Computer Science
  Technische Universität Graz (2020 – 2024)
  Computational Framing Analysis for Polarized Topics Online
  Passed with distinction

• Master in Computer Science
  Technische Universität Graz (2017 – 2020)
  Main Specialization: Knowledge Technologies
  Secondary Specialization: Multimedia Information Systems
  Passed with distinction

• Bachelor in Computer Science
  Technische Universität Graz (2012 – 2017)
  Passed with distinction

• Technical College in Computer Science
  HTBLA Kaindorf an der Sulm (2006 – 2011)
  Passed with distinction

Experience

• University Assistant (2020 – 2024)
  Technische Universität Graz
  Research Focus: NLP in SocialSystems

• Data Scientist (2017-2020)
  Moshbit GmbH (Talto - Talents of Tomorrow)
  Research on deeplearning for job recommenders