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Deep Neural Networks for Photon and Neutron Transport

Published in OSTI, 2020

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Changing temperature profiles and the risk of dengue outbreaks

Published in PLOS Climate, 2023

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Congruity of Genomic and Epidemiological Data in Modelling of Local Cholera Outbreaks

Published in Proceedings of the Royal Society B: Biological Sciences 291, no. 2019, 2024

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Vaccine Allocation Approximation Guarantees for Curbing Outbreaks

Published: October 16, 2022

We seek to develop near-optimal strategies for timely vaccine allocation to reduce the burden of pandemics. While preventative vaccine allocation is important, effective vaccine allocations in a non-preemptive setting (i.e., after the start of an outbreak) is crucial to stem further damage. We expect to attack these problems by taking advantage of the possible submodularity of the objective function for meta-population models. We expect the problem structure we expose to lead to insights that advance the scalability and accuracy of vaccine allocation algorithms. We explore various spatial and temporal settings for allocation, leading to more realistic problem formulations. Our experimental analysis is driven by the FRED and SafeGraph human mobility datasets, which we utilize through meta-population disease models.

Designing Near-Optimal Spatial Vaccine Allocation Strategies

Published: October 23, 2023

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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