Cambridge, England, United Kingdom
I recently graduated with my Ph.D. in Biomedical Data Science from the University of Wisconsin - Madison in the United States. My Ph.D. research focuses on integrating multi-omics and machine learning approaches on biological networks related to gene regulatory mechanisms to help uncover potential biomarkers for neurodegenerative, neuropsychiatric, neuroimmune, and/or peripheral nervous system diseases. That is, my research centers around building a comprehensive link from genotype to phenotype. I also focus on how Transcription Factors coordinate to regulate target genes across cell-types. As a freshly minted Ph.D. graduate, I am excited to contribute to research in the field of public health in the world around me! I am passionate about using data to solve problems to help my team. I have worked in different industries, including: marketing, financial services, advertising tech, healthcare, bio-medical informatics, non-profits, academia, and predictive analytics consulting. I hope to build up my skills to eventually help solve problems that advance humanity. ☛ My proficiency in statistics, data science, programming, bioinformatics, and data visualization empower creative and nimble problem-solving in challenging situations. I am an American, Double Hoya (Georgetown University), and Badger (U.W.-Madison)...always thinking of how to use my skills and abilities to be a truly global citizen. I am on a mission to try to help improve public health. Orcid (connecting research and researchers): https://orcid.org/0000-0002-4166-874X
• Supervised 3 courses (across 2 terms) in the Computer Science and Technology (CST) department at the University of Cambridge, for students at across these 6 following colleges: Churchill, Homerton, Hughes Hall, Lucy Cavendish, Magdalene, and Sidney Sussex. • Lent term (February 2026 – March 2026): Supervisor for the Machine Learning and Real-World Data course (Department of Computer Science and Technology) for 4 students (2 groups of 2 students). • Easter term (May 2026 – June 2026): Supervised 12 students in total across the following 2 courses. Supervisor for the Artificial Intelligence course for 6 students (3 groups of 2 students). Supervisor for the Introduction to Probability course for 6 students (3 groups of 2 students).
Affiliated Postdoctoral Fellow at Clare Hall. Postdoctoral By-Fellow at Churchill College. Researcher at the Department of Public Health and Primary Care (PHPC) at the Heart and Lung Research Institute.
Postdoctoral fellow in Human Genetics