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, google scholar, github, statistics blog, vasishth lab blog
Doing a PhD with me: README.1st
Please note: I am on a two-year sabbatical (Oct 2016-Sept 2018) funded by the VW Stiftung and may be slow to respond to emails. I'm working on a book, whose progress you can follow here. During this period, I will not be teaching, and will not be available for reviewing either.
Dr. Titus von der Malsburg will be replacing me during this period as visiting professor (Professurvertretung).

Lab members

Current PhD and MSc students: Serine Avetisyan, Anna Laurinavichyute, Bruno Nicenboim, Dario Paape, Paul Maetzig (MSc), Daniela Mertzen (MSc), Kate Stone, Wei Zhan.
Postdoc: Lena Jäger

Alumni

People for whom I was first advisor in their PhD, or did a postdoc with me: Felix Engelmann, Samar Husain (postdoc), Lena Jäger (best dissertation award 2015, Uni Potsdam), 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 and 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 project: DFG grant with Frank Rösler: INHIBIT (2017-2020), 312,150 Euros.



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: Dr. Lena Jäger, Bruno Nicenboim, Dario Paape.
The following courses are taught regularly:

Short courses

Statistics-related work

Software