Oluwadara Adedeji

School of Computer Science, University College Dublin

Belfield

Dublin, Ireland

Hi, welcome to my profile page! You can call me Dara.

I am a Ph.D. Candidate at the University College Dublin, in the School of Computer Science under the ML-Labs and the UCD Centre for Computing and Mental Health. My Ph.D. is also jointly sponsored by Health Rhythms, a data science and mental health company. I am being supervised by Mark Matthews.

My research focuses on assessing the mental health of individuals with bipolar disorder using objective financial data, statistical analysis, privacy-preserving machine learning and public engaging participatory studies. My research also cuts across data instrumentation and collection for efficient modelling, and human computer interaction.

I am also an AWS- and Azure-certified data science and machine learning professional with 5+ years of experience across data analytics, data science, and machine learning in healthcare (mental health research), AI and software engineering education, security, telecommunications, power and supply chain industries.

Education

• Ph.D. in Machine Learning (in view), University College Dublin

• Master of Science in Engineering Artificial Intelligence (2023), Carnegie Mellon University

• Bachelor of Science in Electrical & Electronic Engineering (2019), University of Ibadan, Nigeria

If you are interested in what I do, and you want to connect, you can reach me via the contacts below.

news

May 15, 2026	Our paper Manifestations of Mood in Money: Unravelling Financial Behaviours for Passive Assessment in Bipolar Disorder was accepted at the 20th EAI International Conference on Pervasive Computing Technologies for Healthcare.
Sep 24, 2025	I am delighted to share that I have successfully passed my Stage Transfer Assessment. The panel was impressed with my progress, and I am excited to move on to the next stage of my doctoral programme
Mar 25, 2025	Our paper Money and Mental Health: Spending as a Mental Health Indicator - Psychological, Behavioral, Economic Perspectives and Data Collection was accepted at CHI 2025 The Future of Money and HCI.
Sep 14, 2024	I am excited and privileged to give a seminar talk on AI Applications in Healthcare with the NSK.AI community. Presentation here

selected publications

Money and Mental Health: Spending as a Mental Health Indicator - Psychological, Behavioral, Economic Perspectives and Data Collection

Future of Money Workshop, 2025

Abs

Symptomatic financial behavior in bipolar disorder can increase stress, worsen symptoms, and hinder recovery. While spending sprees signal high mood states, research on personal experiences remains limited. This study explores mood-spending dynamics through semi-structured interviews in Ireland and Nigeria (N=5, projected N=10), assessing geo-economic influences and data-sharing preferences for future research. Participants reported varied impulsive spending patterns and emphasized privacy, security, and transparency in financial data sharing. These findings highlight the need for protective financial technologies for vulnerable individuals.