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
twitter, github, statistics blog.



news

  1. AMLaP 2020, 3-5 September, 2020.
  2. The Summer School on Statistical Methods for Linguistics and Psychology.
  3. The First South Asian Forum on the Acquisition and Processing of Language (SAFAL), 2 September 2020.

Lab members

Current PhD students: Paula Lissón, Serine Avetisyan, Anna Laurinavichyute, Daniela Mertzen, Dorothea Pregla, Kate Stone (advising led by: Dr. Titus von der Malsburg), Himanshu Yadav.
Postdocs: Dr. Titus von der Malsburg; (from April 1, 2020:) Pia Schoknecht; Dr. Garrett Smith; (from Feb 1, 2020:) Dr. João Veríssimo
Independent researchers: Prof. Dr. Sol Lago (visiting professor); Dr. Dario Paape; Dr. Audrey Bürki.

Alumni

People for whom I was primary advisor during their PhD or postdoc stay (note: I use the German title convention even though many have professorships outside Germany and probably will not use the German-style titles):
Prof. Dr. Daniel Schad Prof. Dr. Sol Lago, Dr. Dario Paape, Prof. Dr. Bruno Nicenboim, Dr. Felix Engelmann, Prof. Dr. Samar Husain, Dr. Lena Jäger, Dr. Paul Metzner, Prof. Dr. Pavel Logačev, Dr. Titus von der Malsburg, Dr. 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

Teaching: Regular courses

Winter semester 2018/19
  • Introduction to statistical data analysis. MSc Linguistics, IECL, EMCL, IDEALAB programs. This course covers the foundational ideas in frequentist statistics.
  • Bayesian Linear Modeling. MSc Cognitive Systems, MSc Linguistics, MSc Cognitive Science. This course is appropriate only for people familiar with linear mixed models (see my summer semester Advanced data analysis course).
Summer semester 2019

Recent statistical methodology papers

Software