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. The third Potsdam Summer School on Statistical Methods for Linguistics and Psychology, 9-13 September 2019.
  2. The second Potsdam Summer School on Statistical Methods for Linguistics and Psychology, 10-14 September 2018.

Lab members

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


Alumni

People for whom I was first advisor (or to whom I provided significant advising during their PhD) during their PhD or postdoc: Dario Paape, Bruno Nicenboim, Felix Engelmann, Samar Husain (postdoc), Lena Jäger, Paul Metzner, Pavel Logačev, Titus von der Malsburg, Umesh Patil.
My first student (Diploma program) was Dr Katja Suckow.

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 SFB 1287 Q project, SFB 1287 B2 project, SFB 1287 B3 project, INHIBIT, DFG-funded project, 2-year Opus magnum grant from the VW Stiftung.

Publications (with Data + Code)

Teaching: Regular courses

Winter semester 2018/19

Teaching: Short courses

Recent statistical methodology papers

Software