Research Interests
I am passionate about using statistics and computer science principles to solve pressing biomedical problems. My particular research interests include Data Science, Computational Statistics, Machine Learning, and Statistical Applications in Biomedicine, Engineering, and Imaging.
Publications
McCoy, K., Marisetty, S., Tan, D., Jensen, C. T., Siewerdsen, J. H., Peterson, C. B., & Ahmad, M. (2024). Automatic vessel attenuation measurement for quality control of contrast-enhanced CT: Validation on the portal vein. Medical physics, 51(9), 5954-5964.
Kartchner, D., McCoy, K., Dubey, J., Zhang, D., Zheng, K., Umrani, R., ... & Mitchell, C. S. (2023). Literature-Based Discovery to Elucidate the Biological Links between Resistant Hypertension and COVID-19. Biology, 12(9), 1269.
Allegri, S. A., McCoy, K., & Mitchell, C. S. (2022). CompositeView: A network-based visualization tool. Big data and cognitive computing, 6(2), 66.
Kirkpatrick, A., Onyeze, C., Kartchner, D., Allegri, S., Nakajima An, D., McCoy, K., ... & Mitchell, C. S. (2022). Optimizations for Computing Relatedness in Biomedical Heterogeneous Information Networks: SemNet 2.0. Big data and cognitive computing, 6(1), 27.
McCoy, K., Gudapati, S., He, L., Horlander, E., Kartchner, D., Kulkarni, S., ... & Mitchell, C. S. (2021). Biomedical text link prediction for drug discovery: a case study with COVID-19. Pharmaceutics, 13(6), 794.
Tomov, M. L., Perez, L., Ning, L., Chen, H., Jing, B., Mingee, A., ... , McCoy, K., ... & Bauser-Heaton, H. (2022). A 3D Bioprinted In Vitro Model of Pulmonary Artery Atresia to Evaluate Endothelial Cell Response to Microenvironment. Advanced healthcare materials, 11(13), e2201227.
Talks
Tree-Based Predictive Models for Noisy Input Data
45th Annual Conference of Texas Statisticians (COTS)
Weighted Sum-of-Trees Model for Clustered Data
Houston Area Chapter of the American Statistical Association (HACASA) 2025 Student
Symposium
Using Unsupervised Machine Learning Techniques and 3D Visualization Tools to Better
Understand Cardiovascular Disease
Undergraduate Research Opportunities Program Spring Symposium
Poster Presentations
Tree-Based Predictive Models for Noisy Input Data
UT System 2025 AI Symposium in Healthcare
Optimizing Decision Trees for Clustered and Hierarchical Data
Joint Statistical Meetings
Automatic Vessel Intensity Measurement for Quality Control of Contrast-enhanced
CT
Ken Kennedy Institute AI in Health Conference
Using Text Mining Link Prediction to Expedite COVID-19 Research
Biomedical Engineering Society
3D Bioprinted Hemodynamic Flow Models of the Developing Heart to Study Congenital Heart
Disease
Undergraduate Research Opportunities Program Spring Symposium