Kevin McCoy

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

D. Kartchner, K. McCoy, J. Dubey, D. Zhang, K. Zheng, R. Umrani, J. J. Kim, and C. S. Mitchell, “Literature-based discovery to elucidate the biological links between resistant hypertension and covid-19”, Biology, vol. 12, no. 9, p. 1269, 2023.


S. A. Allegri, K. McCoy, and C. S. Mitchell, “Compositeview: A network-based visualization tool”, Big data and cognitive computing, vol. 6, no. 2, p. 66, 2022.


A. Kirkpatrick, C. Onyeze, D. Kartchner, S. Allegri, D. Nakajima An, K. McCoy, E. Davalbhakta, and C. S. Mitchell, “Optimizations for computing relatedness in biomedical heterogeneous information networks: Semnet 2.0”, Big data and cognitive computing, vol. 6, no. 1, p. 27, 2022


K. McCoy, S. Gudapati, L. He, E. Horlander, D. Kartchner, S. Kulkarni, N. Mehra, J. Prakash, H. Thenot, S. V. Vanga, et al., “Biomedical text link prediction for drug discovery: A case study with covid-19”, Pharmaceutics, vol. 13, no. 6, p. 794, 2021.


M. L. Tomov, L. Perez, L. Ning, H. Chen, B. Jing, A. Mingee, S. Ibrahim, A. S. Theus, G. Kabboul, K. Do, R. S. Bhamidipati, J. Fischbach, K. McCoy, et al., “A 3d bioprinted in vitro model of pulmonary artery atresia to evaluate endothelial cell response to microenvironment”, Advanced Healthcare Materials, p. 2 100 968, 2021.


A. S. Theus, M. L. Tomov, A. Cetnar, B. Lima, J. Nish, K. McCoy, M. Mahmoudi, and V. Serpooshan, “Biomaterial approaches for cardiovascular tissue engineering”, Emergent Materials, vol. 2, no. 2, pp. 193-207, 2019.


Talks

April 2021

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

Poster Presentations

October 2023

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

October 2020

Using Text Mining Link Prediction to Expedite COVID-19 Research
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