Research Assistant
Applied Statistics · Iran · 2021-04-13
Proposed Endeavor
The petitioner proposes to continue his research in applied statistics, specifically focusing on designing novel methods for analyzing and modeling complex health surveys and correlated epidemiological data. This work aims to monitor non-communicable diseases and enable the early detection of epidemics to mitigate large-scale outbreaks. The endeavor is intended to improve the ability to predict pandemics and assess the efficacy of new pharmaceuticals through improved clinical trials.
Framework Evaluation
3 of 3 criteria metThe research on modeling complex health surveys for early epidemic detection was found to have great importance due to its potential to prevent economic and social disruptions caused by pandemics.
The petitioner's record of 650 citations, 29 publications, and 17 peer reviews indicates an elevated position and major influence in the field of applied statistics.
The U.S. public health sector's reliance on concise statistical results for patient care and pandemic prediction makes waiving the labor certification beneficial to the national interest.
Why This Petition Was Approved
Evidence
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