Umay Kulsoom
Explainable, causal ML for epilepsy care
PhD Student
University of Galway, Ireland
Your week at a glance
- Small group — you facilitate Group 8 · Draco on Day 4 (Methods & modeling).
- Poster — Day 7 (Sun, Jun 28) · Session B (10:30–11:30 AM).
Umay Kulsoom is a PhD researcher at the University of Galway, Ireland, working on Natural Language Processing for clinical text with a focus on explainability and causal inference. She graduated from the National University of Sciences and Technology (NUST), Islamabad, and spent over seven years as a lecturer in computer science, teaching core subjects and supervising research projects across engineering and computing programmes. Her research centres on analysing real-world clinical text, particularly epilepsy patient records, with the aim of moving beyond black-box prediction. While her earlier work explored explainable machine learning and deep learning for clinical narratives, she is now focused on causal methods that surface meaningful relationships between treatments, medications, and patient outcomes. Through a collaboration with FutureNeuro at RCSI, she works with electronic health records from Irish hospitals to support interpretable, evidence-driven insights for clinical decision-making.
Awards & honors
Recognition
- California State University, Fullerton (CSUF) Merit Scholarship for MS