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.

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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.

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Allegri, S. A., McCoy, K., & Mitchell, C. S. (2022). CompositeView: A network-based visualization tool. Big data and cognitive computing, 6(2), 66.

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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.

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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.

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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.

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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.

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Talks

Tree-Based Predictive Models for Noisy Input Data
45th Annual Conference of Texas Statisticians (COTS)

April 2026 PDF

Weighted Sum-of-Trees Model for Clustered Data
Houston Area Chapter of the American Statistical Association (HACASA) 2025 Student Symposium

January 2025 PDF

Using Unsupervised Machine Learning Techniques and 3D Visualization Tools to Better Understand Cardiovascular Disease
Undergraduate Research Opportunities Program Spring Symposium

April 2021 PDF

Poster Presentations

Tree-Based Predictive Models for Noisy Input Data
UT System 2025 AI Symposium in Healthcare

May 2025 PDF

Optimizing Decision Trees for Clustered and Hierarchical Data
Joint Statistical Meetings

August 2024 PDF

Automatic Vessel Intensity Measurement for Quality Control of Contrast-enhanced CT
Ken Kennedy Institute AI in Health Conference

October 2023 PDF

Using Text Mining Link Prediction to Expedite COVID-19 Research
Biomedical Engineering Society

October 2020 PDF

3D Bioprinted Hemodynamic Flow Models of the Developing Heart to Study Congenital Heart Disease
Undergraduate Research Opportunities Program Spring Symposium

April 2019