UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
 More search options
Dr Maarten Speekenbrink
231
26 Bedford Way
London
WC1H 0AP
Dr Maarten Speekenbrink profile picture
Appointment
  • Senior Lecturer
  • Experimental Psychology
  • Div of Psychology & Lang Sciences
  • Faculty of Brain Sciences
Biography

I completed my undergraduate degree in psychology at the University of Amsterdam. I obtained a double specialization in psychological research methods, and in clinical psychology. After a brief period as a researcher at the Free University Amsterdam, I returned to the University of Amsterdam for a PhD in Psychological Methods. During my PhD, I was part of the Interuniversity Graduate School of Psychometrics and Sociometrics, which allowed me to further enhance my knowledge and skills in advanced statistical modelling. After completing my PhD, I moved to University College London as a postdoctoral researcher at the ESRC centre for Economic Learning and Social Evolution (ELSE). Subsequently, I was PI in a second postdoc position, working on adaptive experimental design. I joined the Department of Experimental Psychology as Lecturer in Mathematical Psychology in 2013, and an Associate Professor in 2017. I lead the Speekenbrink lab on computational learning and decision making.

Research Summary

Amain focus of my research is to examine the cognitive andcomputational principles of human learning and decision making. Whenand why do people abandon their habitual choices to gain newexperiences? How do they generalize their priorexperiences to make inferencesandinformed decisions in novel situations? The goal of my research is tounderstand (1)howpeople interact with their environment in order to acquire knowledgeabout it, (2)howthis knowledge is structured and adapted to an ever-changing world,and (3)howthisknowledgeit is used to make better inferences and decisions. I approach thesetopics with a combination of mathematicalmodelling and behavioural experiments. I use Bayesian reinforcementlearning as a mathematical framework to understand learning anddecision making at the cognitive, behavioural and neural level. Myresearch lies on the intersection of psychology and AI, and ischaracterised by a synergy between theoretical and methodologicaldevelopment.

Teaching Summary

A main teaching responsibility is convening the PGT advanced statistics module for MSc and PhD students at Psychology and Language Sciences. This module focuses on a general model comparison approach to statistical inference, and the use of state-of-the-art software (R and JASP). I also contribute to undergraduate seminars, and supervise empirical research projects at BSc and MSc level.

Academic Background
2005   Doctor of Philosophy Universiteit van Amsterdam
1999   Doctoraal Universiteit van Amsterdam
1994   Propaedeusis Universiteit van Amsterdam
Some IRIS profile information is sourced from HR data as explained in our FAQ. Please report any queries concerning HR data shown on this page to hr-services@ucl.ac.uk.
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by