Kevin McCoy
Kevin McCoy
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.
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.
Theus, A. S., Tomov, M. L., Cetnar, A., Lima, B., Nish, J., McCoy, K., ... & Serpooshan, V. (2019). Biomaterial approaches for cardiovascular tissue engineering. Emergent Materials, 2, 193-207.
January 2025
Weighted Sum-of-Trees Model for Clustered Data <PDF>
Houston Area Chapter of the American Statistical Association (HACASA) 2025 Student Symposium
April 2021
Using Unsupervised Machine Learning Techniques and 3D Visualization Tools to Better Understand Cardiovascular
Disease <PDF>
Undergraduate Research Opportunities Program Spring Symposium
May 2025
Tree Based Predictive Models for Noisy Input Data <PDF>
UT System 2025 AI Symposium in Healthcare
August 2024
Optimizing Decision Trees for Clustered and Hierarchical Data <PDF>
Joint Statistical Meetings
October 2023
Automatic Vessel Intensity Measurement for Quality Control of Contrast-enhanced CT <PDF>
Ken Kennedy Institute AI in Health Conference
October 2020
Using Text Mining Link Prediction to Expedite COVID-19 Research <PDF>
Biomedical Engineering Society
April 2019
3D Bioprinted Hemodynamic Flow Models of the Developing Heart to Study Congenital Heart Disease
Undergraduate Research Opportunities Program Spring Symposium