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HARVEY: Massively Parallel Hemodynamics The main focus of my research is to develop and deploy a general purpose, multiscale methodology to study blood flow patterns in complex environments relating to real patient arterial geometries as measured by CT or MRI imaging. |
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Evolutionary Game Dynamics With researchers from Harvard's Program for Evolutionary Dynamics and SEAS, I created a multi-tiered agent-based framework for modeling the role of historical recall in evolutionary game dynamics. This model scales to 294,912 processors with high parallel efficiency. |
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Wireless Networks In collaboration with researchers at MIT Lincoln Laboratory, I designed methods of modeling multi-slot message transmission in wireless networks that led to the development of efficient methods for broadcasting with random access and capture. |
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Molecular Docking and the
Drug Discovery
Workflow While at IBM, I helped port and optimize several molecular docking programs to Blue Gene and established a workflow allowing pharmaceutical companies to search for specific molecules or targets, simulate docking, identify strong drug candidates, compute varients, and assess viability and match with the targets. |