Adeeb graduated from his bachelor’s degree in Mathematics from Lancaster, mainly focusing on pure mathematics, in 2020. Then going to Nottingham to get a master’s degree in Machine Learning. His academic interests mainly revolve around the more theoretical side of machine learning, combining his bachelors and masters. Outside of Maths, Adeeb enjoys competing in sports tournaments and playing most racket sports, in particular Table Tennis and Badminton.

Research project title:
Optimising Psychological Treatment in the NHS

Supervisor(s): 
Thomas Burnett, Theresa Smith, Özgür Şimşek

Project description: 
This thesis will work towards the optimisation of psychological treatment within the IAPT service, IAPT stands for Improving Access to Psychological Therapies also commonly known as NHS Talking Therapies and it was developed to improve the delivery of, and access to, evidence-based, psychological therapies for depression and anxiety disorders within the NHS. We are interested in two key objectives. The first is to predict which patients are likely to dropout and not attend their therapy sessions, this is known as a Leave Without Being Seen (LWBS) problem in the literature. Our second goal in this thesis is to form a real-time sequential decision maker within IAPT, this will take the form of reinforcement learning.