I am a PhD student at Drexel University College of Computing and Informatics where I’m advised by Prof Christopher Yang in the Health Informatics Research Group.
My research interests and work lie at the intersection of artificial intelligence / machine learning and healthcare. In particular, I’m interested in predictive modelling for diagnostic and prognostic applications, health disparities / equity, and AI bias and fairness. I also have a keen interest in the application of large language models (LLMs) for health applications and in clinical settings, and in exploring their potential for clinical reasoning. I bring to this work many years of clinical experience as a registered nurse in emergency and trauma settings in the US and in New Zealand.
Prior to venturing into the healthcare field I taught undergraduate and graduate level Physics, and hold a Master of Philosophy (MPhil) degree in Physics.
Updates
2024
- April 2024:
- Paper accepted to the 22nd International Conference on Artificial Intelligence in Medicine (AIME 2024), Salt Lake City, UT.
- Inducted into the Drexel University chapter of Upsilon Pi Epsilon, the international honor society for the computing and information disciplines.
- Mar 2024:
- Two papers accepted to the 12th IEEE International Conference on Health Informatics (IEEE ICHI 2024), Orlando, FL.
- Invited to attend, with full funding, the ECOG-ACRIN Spring 2024 Group Meeting in Baltimore, MD as an Edith Peterson Mitchell, MD Health Equity Travel Scholarship alumnus.
- Jan 2024:
- Paper accepted to the 18th International Digital Curation Conference, Edinburgh, Scotland.
- Our paper on disparities in presentation and initiation of anti-VEGF treatment in patients with retinal vein occlusions, work in collaboration with the Vickie & Jack Faber Vision Research Center at Wills Eye Hospital, has been accepted for publication in Opthalmology® Retina, a journal of the American Academy of Opthalmology.
2023
- Sep 2023:
- Awarded the Edith Peterson Mitchell, MD Health Equity Travel Scholarship to attend the ECOG-ACRIN Fall 2023 Group Meeting, Washington, DC.
- Aug 2023:
- Presented a poster “Investigating health disparities and AI bias in models to predict development of chronic kidney disease in patients with type II diabetes” at the second NIH AIM-AHEAD Annual Meeting, Rockville, MD.
- June 2023:
- Presented our work on resampling for bias mitigation at the first International Workshop on Ethics and Bias of Artificial Intelligence in Clinical Applications (EBAIC 2023) at the IEEE International Conference on Healthcare Informatics (IEEE-ICHI), Houston, TX.
2022
- July 2022:
- Awarded the NIH AIM-AHEAD Research Fellowship (Cohort 1)
- Joined the editorial board of the Journal of Healthcare Informatics Research as Managing Editor
2021 and prior
- September 2021:
- Joined Drexel University as a PhD student and graduate research assistant in the College of Computing and Informatics.
- May 2020:
- Received the Master of Science in Computer Information Systems (conc. Health Informatics, Data Analytics) from Boston University
- Awarded the 2020 BU MET Award for Excellence in Graduate Study in Computer Information Systems
- Received the Master of Science in Computer Information Systems (conc. Health Informatics, Data Analytics) from Boston University
- May 2007:
- Received the Diploma in Nursing from Our Lady of Lourdes School of Nursing, Camden NJ.
- Awarded the 2007 Vincent T. McDermott Award for Excellence in Medical Nursing
- Awarded the 2007 Anthony Z. Vircadi Award for Excellence in Clinical Obstetrical Nursing
- Received the Diploma in Nursing from Our Lady of Lourdes School of Nursing, Camden NJ.
- December 2000:
- Received the Master of Philosophy in Physics from Moi University, Chepkoilel Campus, Kenya.