Prof. Dr. Shravan Vasishth

Professor, Dept. of Linguistics, University of Potsdam, 14476 Potsdam, Germany
Phone: +49-(0)331-977-2950 | Fax: - 2087 | Email: vasishth squiggle uni minus potsdam dot de
Orcid ID, arXiv author id, google scholar, github, statistics blog, vasishth lab blog, Things People Say, (blog on misc topics, currently mostly dialysis) public key.
Doing a PhD with me: README.1st


  1. Job opening (postdoc) in my lab, starting 1 Oct 2018: see here
  2. The second Potsdam Summer School on Statistical Methods for Linguistics and Psychology, 10-14 September, 2018. Details coming soon.
  3. The first Potsdam Summer School on Statistical Methods for Linguistics and Psychology, 28 August - 1 September 2017 9AM-5PM.
  4. Paul Maetzig wins the Allen Newell best student-led paper award at MathPsych/ICCM 2017.

Lab members

Current PhD and MSc students: Serine Avetisyan, Anna Laurinavichyute, Dario Paape, Paul Maetzig (MSc), Daniela Mertzen, Dorothea Pregla (MSc), Kate Stone
Postdocs: Lena Jäger, Bruno Nicenboim, Sandra Hanne
Independent research groups: Sol Lago, Audrey Bürki-Forschini.
Visiting professor (Vertretungsprofessor): Titus von der Malsburg.

Biography and CV

  • BA (Honours) Japanese (1989 JNU, India)
  • MA Linguistics (1994 JNU, India)
  • MS Computer and Information Science (2002 Ohio State, USA)
  • PhD Linguistics (2002 Ohio State, USA)
  • MSc Statistics (2015 Sheffield, UK), Professional Member, Royal Statistical Society, since 2016 (GradStat ID: 128307).

Publications / research interests

My group develops computational models of human sentence comprehension, focusing on both impaired and unimpaired populations. We are also interested in statistical theory and practice.

Current projects

Publications (with Data + Code)

Teaching at Potsdam

Regular teaching staff in my group:
Dr. Titus von der Malsburg (takes over my teaching as a visiting professor or Professurvertretung, Oct 2016-Sept 2018).
Lehrstuhlmitarbeiter: Paul Maetzig (MSc), Daniela Mertzen, Sandra Hanne, Dario Paape.
The following courses are taught regularly:

Short courses

Statistics-related work