Prajakta Bedekar, “Optimal Time-Dependent Classification for Diagnostic Testing”
Please join us on Tuesday, January 31, 2023 at 12:00pm VIRTUAL on ZOOM only for the CIS & MINDS Seminar Series:
(You may gather in Clark, Room 110 to watch the seminar if you would like.)
Guest: Prajakta Bedekar, PhD
Postdoctoral Fellow
Johns Hopkins University
Topic: “Optimal Time-Dependent Classification for Diagnostic Testing”
Abstract: Antibody tests can identify past infection by quantifying the immune response of an infected individual, thereby providing guidance for decisions about public health measures. The relative antibody measurements change with time due to the variation in an individual’s antibody levels and prevalence in the population as the pandemic progresses. In this talk, I will demonstrate the use of optimal decision theory to develop a time-dependent, probabilistic classification scheme which takes both the personal and the population-level effects into account. These classification domains change with time and suggest a natural adaptive scheme for estimation of prevalence, considering the progression of the pandemic. I will illustrate the results by using a combination of SARS-CoV-2 and synthetic data sets, and detail the type of data needed to execute this scheme in real-world settings. This talk is based on joint work with Paul Patrone and Anthony Kearsley.
Biography: Prajakta Bedekar, PhD is a postdoctoral fellow working with Johns Hopkins University (JHU) and National Institute of Standards and Technology (NIST).
Dr. Bedekar is a recent graduate from the Department of Mathematics at the University of Houston. Dr. Bedekar graduated with a PhD under the guidance of Dr Mikhail Perepelitsa and Dr Ilya Timofeyev.
Join Zoom Meeting:
https://wse.zoom.us/j/97055652302?pwd=dWFUUHRHS1lna2h5K0U1cEt4RDRrQT09