I am a Health AI researcher whose work focuses on the development, evaluation, and responsible application of artificial intelligence and machine learning in healthcare. I currently work as a Data Science Intern with the University of Pennsylvania Health System (UPHS) Data Science team, within PennDnA at Penn Medicine.
I have successfully defended my PhD dissertation at Drexel University’s School of Computer and Information Sciences (formerly the College of Computing and Informatics), with degree conferral expected September 5, 2026. I conducted research under the guidance of Prof Christopher Yang in the Health Informatics Research Group.
My research interests include clinical decision support, responsible AI, model fairness, uncertainty, and the evaluation of AI systems for real-world healthcare settings. I bring to this work many years of clinical experience as a registered nurse in emergency and trauma settings in the US and New Zealand.
Prior to entering healthcare, I taught undergraduate- and graduate-level physics and earned a Master of Philosophy (MPhil) degree in Physics.
Updates
2026
- August 2026
- Joined the UPHS Data Science team within PennDnA at Penn Medicine as a Data Science Intern
- Successfully defended my doctoral dissertation
- July 2026:
- Presented a poster, “Beyond Aggregate Metrics: Evaluating Tabular Foundation Models for Sepsis Mortality Prediction Across Admission Trajectory Subgroups” at the HITI Lab Symposium 2026 (Health AI Datathon ’26), Emory University, Atlanta, GA.
- Manuscript “SAKSHI: A Community-Operated Investigative Platform for Accountability in Clinical AI Deployment” accepted to the DAIH Workshop at COLM 2026.
- June 2026:
- Invited commentary with collaborators, “Whose Federation? Epistemic Closure, Community Exclusion, and the Political Economy of Federated Learning,” accepted for publication in The American Journal of Bioethics
- February 2026:
- Two collaborative posters accepted to and presented at the 20th International Digital Curation Conference (IDCC 2026), Zagreb, Croatia.
- January 2026:
- Manuscript accepted to the 14th IEEE International Conference on Health Informatics (IEEE ICHI 2026), Minneapolis, MN.
2025
- April 2025:
- Manuscript accepted to the 23rd International Conference on Artificial Intelligence in Medicine (AIME 2025), Pavia, Italy.
- March 2025:
- Successfully defended my doctoral proposal and advanced to candidacy status.
2024
- August 2024:
- Manuscript accepted for publication in JCO Clinical Cancer Informatics (JCO CCI), a journal of the American Society for Clinical Oncology (ASCO).
- May 2024:
- Manuscript accepted for publication in the Journal of the American Medical Informatics Association (JAMIA).
- April 2024:
- Manuscript 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 manuscripts 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:
- Manuscript accepted to the 18th International Digital Curation Conference, Edinburgh, Scotland.
- Manuscript accepted for publication in Opthalmology® Retina, a journal of the American Academy of Opthalmology. (Work in collaboration with the Vickie & Jack Faber Vision Research Center at Wills Eye Hospital)
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
- December 2022:
- Received the Certificate of Achievement in Medical Statistics from the Stanford Center for Health Education, Stanford Medicine.
- 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, Kenya.