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



news

  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.

Lab members

Current PhD and MSc students: Paula Lissón (from May 2018), Serine Avetisyan, Anna Laurinavichyute, Dario Paape, Daniela Mertzen, Dorothea Pregla, Kate Stone
Postdocs: Bruno Nicenboim, Sandra Hanne, Lena Jäger
Independent research groups: Sol Lago, Audrey Bürki.
Visiting professor (Vertretungsprofessor): Titus von der Malsburg.

Alumni

People for whom I was first advisor during their PhD or postdoc: Bruno Nicenboim, Felix Engelmann, Samar Husain (postdoc), Lena Jäger, Pavel Logačev, Titus von der Malsburg, Umesh Patil.

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.

Currently funded 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

Software