PhD Computer Science
Arizona State University
Advisors
Dr. Abhishek Singhaory
Dr. Ross Maciejewski
ASU Biodesign
Applied Structural Biology
Research Interests
Deep Learning, Generative Models, Structural Biology
Email: jcava [at] asu [dot] edu
SocialCava, John Kevin, Ankita Shukla, John Wyatt Vant, Shubhra Kanti Karmaker, Pavan K. Turaga, Ross Maciejewski, and Abhishek Singharoy. "Latent Sequence Generation of Steered Molecular Dynamics." In ICLR 2023 Workshop on Physics for Machine Learning. 2023.
Nicholas Ho, John Kevin Cava, John Vant, Ankita Shukla, Jake Miratsky, Pavan Turaga, Ross Maciejewski, Abhishek Singharoy. Learning Free Energy Pathways through Reinforcement Learning of Adaptive Steered Molecular Dynamics. bioRxiv 2022.10.04.510845.
Otstot, K., Cava, J. K., Sypherd, T., & Sankar, L. (2022). AugLoss: A Learning Methodology for Real-World Dataset Corruption. arXiv preprint arXiv:2206.02286.
Cava, John Kevin, John Vant, Nicholas Ho, Ankita Shukla, Pavan Turaga, Ross Maciejewski, and Abhishek Singharoy. "Towards Conditional Generation of Minimal Action Potential Pathways for Molecular Dynamics". arXiv:2111.14053 (2021).
T. Sypherd, M. Diaz, J. K. Cava , G. Dasarathy, P. Kairouz and L. Sankar, "A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization," in IEEE Transactions on Information Theory, doi: 10.1109/TIT.2022.3169440.
Gupta, Chitrak, John Kevin Cava, Daipayan Sarkar, Eric A. Wilson, John Vant, Steven Murray, Abhishek Singharoy, and Shubhra Kanti Karmaker. "Mind reading of the proteins: Deep-learning to forecast molecular dynamics." bioRxiv (2020).
John Kevin Cava, Todd Houghton, Hongbin Yu. Towards Generalizable Distance Estimation By Leveraging Graph Information. Proceedings of the IEEE International Conference on Computer Vision Workshops 2019.
John Kevin Cava, Gaoyang Li, Wei Du, Huansheng Cao. WITOD: A Tool for Within-Taxon Operational Taxonomic Unit Diversity Analysis. bioRxiv, 813444