Machine Learning Applications in Psychology Using Large Datasets

We are delighted to invite you to our first event, hosted by the Mathematical, Statistical and Computing Psychology Section, chaired by Dr Jessica Ann Diaz from Birmingham City University, with support from our committee team.

This special session will feature three expert speakers, all specialists in the intersection of machine learning and psychological research: 

• Dr Ioannis Delis (University of Leeds, School of Biological Sciences)
• Dr Matthew Hopkins
• Dr Jessica Ann Diaz (Birmingham City University, School of Psychology) 

Each speaker will deliver a concise 15-minute talk on how machine learning techniques can be applied to large datasets in psychology. Following the presentations, there will be an interactive Q&A session, giving attendees the opportunity to engage directly with the speakers. 

To conclude the event, we will invite feedback and ask whether participants would be interested in a future hands-on workshop to explore these topics in more depth. 

The purpose of this connection event is to bring together attendees to provide an opportunity to network, to share ideas and insights.

Due to the two way interactive nature of the event, this event will not be recorded and certificates of attendance will not be issued.

If you have any questions please contact [email protected].

How to take part

This event will be held online.

If you cannot see the Zoom link please sign in and refresh the page.

About our speakers

• Dr Matthew Hopkins is Experimental Psychologist with a Ph.D. in Experimental Psychology, an M.Sc. in Cognitive Neuroscience, a B.Sc. in Psychology and in the final year of an M.Phys in Astrophysics and Space Science. I also hope to begin a second Ph.D. in Cosmology in the coming years. 
  
  As a lecturer in Evolutionary and Biological Psychology, at the University of Northampton, I am involved in several research projects that apply mathematical modelling to human behaviour.
  
  Furthermore, I am constantly thinking of how we can improve psychological knowledge by moving away from a probabilistic account of behaviour to a more deterministic account. 
   
• Dr Jessica A. Diaz is a Lecturer in Psychology at Birmingham City University (BC), with a particular interest in cognitive neuroscience, focusing on human perceptual learning, neural plasticity, decision-making, and cognitive development.
  
  She also has a strong interest in how the brain processes numerical information and how this may relate to dyscalculia. 
  
  Jessy completed a Licenciatura in Psychology and a Master's in Clinical Psychology at the Autonomous University of Madrid, both awarded with First Class Honours.
  
  She then obtained an MSc in Brain Imaging and Cognitive Neuroscience with Distinction at the University of Nottingham, followed by a PhD in Computational Neuroscience and Psychology at the Institute of Neuroscience and Psychology, University of Glasgow, under the supervision of Professor Marios Philiastides. 
  
  After her PhD, she worked as an Interim Lecturer at Nottingham Trent University. Between 2018 and 2022, she held a Postdoctoral Research Fellowship in Computational Neuroscience at the School of Biomedical Sciences, University of Leeds, working with Dr Ioannis Delis.