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Simulating water, individuals, and management using a coupled and distributed approach.

, , , , , , , and . WSC, page 1120-1131. IEEE/ACM, (2014)

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Modeling Dynamic Multiscale Social Processes in Agent-Based Models., , and . IEEE Intelligent Systems, 23 (4): 36-42 (2008)Portable and Reusable Deep Learning Infrastructure with Containers to Accelerate Cancer Studies., , , , , and . ESPM2@SC, page 54-61. IEEE, (2018)High-throughput cancer hypothesis testing with an integrated PhysiCell-EMEWS workflow., , , , , , , , , and . BMC Bioinform., 19-S (18): 81-97 (2018)CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research., , , , , , , , , and 3 other author(s). BMC Bioinform., 19-S (18): 59-69 (2018)Experiences in Developing a Distributed Agent-based Modeling Toolkit with Python., , and . PyHPC@SC, page 1-12. IEEE, (2020)Application of Distributed Agent-based Modeling to Investigate Opioid Use Outcomes in Justice Involved Populations., , , , , , , , , and . IPDPS Workshops, page 989-997. IEEE, (2021)Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models., , , and . Simul., (2021)Chisim: an Agent-based simulation Model of Social Interactions in a Large Urban Area., , , , and . WSC, page 810-820. IEEE, (2018)Sequentially calibrating a Bayesian microsimulation model to incorporate new information and assumptions., , , and . BMC Medical Informatics Decis. Mak., 22 (1): 12 (2022)Modeling suggests that virion production cycles within individual cells is key to understanding acute hepatitis B virus infection kinetics., , , , , , , , , and 5 other author(s). PLoS Comput. Biol., (2023)