| Aug 06, 2026 | Our paper Following the Money: How Financial Data Can Transform Mental Health Research and Care has been accepted for publication in Psychiatric Services, published by American Psychiatric Association Publishing. |
| Jun 19, 2026 | Our paper A Computational Ethical Framework for Financial Digital Phenotyping for Mental Health has been accepted for presentation at the 21st International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2026), Rome, Italy, September, 2026. |
| Jun 08, 2026 | Our paper Money and Mental Health: A Scoping Review of Financial Variables, Data Sources, and Analytical Methods was accepted for publication in Frontiers in Public Health. |
| 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 (PervasiveHealth 2026), Beijing, China, October 2026. |
| 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 The Future of Money and HCI workshop, of the CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, April 2025. |
| 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 |
| Aug 27, 2024 | I am happy to have completed the MLOps zoomcamp by Data Talks Club, and finishing in the top 15 out of more than 1000 enrolled participants worldwide. My final project which is on stress prediction using multimodal inputs can be found here. |
| Jul 17, 2024 | I am pleased to attend the Public Patient Involvement (PPI) Summer School, organized by PPI Ignite at the University of Limerick. |
| Sep 01, 2023 | I am elated to start my Ph.D. in Computer Science at the University College Dublin, Ireland. |
| May 26, 2023 | Excited to have completed my Masters in Engineering Artificial Intelligence from Carnegie Mellon University. |