Alexander Kirpich Ph.D.
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Welcome to My Page

About me

Education

Ph.D. in Biostatistics, University of Florida, 2015
Master of Statistics, University of Florida, 2011
Specialist in Mathematics, Belarusian State University, 2006

Specialization

Infectious Disease Modeling
Infectious Disease Epidemiology
Molecular Epidemiology

Dr. Alexander Kirpich is a biostatistician and an assistant professor at the Department of Population Health Sciences at the School of Public Health at Georgia State University. He specializes in infectious disease statistical modeling, including cholera, dengue, HIV, anthrax, and others. Additionally, he has expertise in epidemiology and bioinformatics. Dr. Kirpich has collaborated with medical doctors and epidemiologists on transmission models of cholera and HIV. He has also conducted spatial analysis of surveillance cancer data and worked with metabolomics data. Furthermore, he has provided statistical data analyses and assistance to multiple epidemiologists, medical doctors, and field scientists. Dr. Kirpich is interested in the application of statistical methods to public health and biomedical research questions and policies. He aims to address statistical challenges such as missing data, asymptomatic infections, underreporting, and noise during data acquisition.

Latest Publications

Shishkin A, Bleichrodt A, Luo R, Skums P, Chowell G, Kirpich A. Short-Term Predictions of the Trajectory of Mpox in East Asian Countries, 2022–2023: A Comparative Study of Forecasting Approaches Mathematics 2024 12(23), 3669 DOI: 10.3390/math12233669

Nucci AM, Bashaw H, Kirpich A, Rudolph J. Growth in Pediatric Intestinal Failure after Weaning of Parenteral Nutrition by Primary Diagnosis and Transplant Status and during Teduglutide Therapy. Nutr Clin Pract. 2024 Sep 12; PMID: 39263924 DOI: 10.1002/ncp.11209

Bakhturidze G, Popova L, Kirpich A, Berg CJ, Eriksen MP. Smoke-free legislation impact on the hospitality sector in the Republic of Georgia. Tob Control. 2024 Aug 30. PMID: 39214693 DOI: 10.1136/tc-2023-058513

Bleichrodt A, Luo R, Kirpich A, Chowell G. Evaluating the forecasting performance of ensemble sub-epidemic frameworks and other time series models for the 2022–2023 mpox epidemic. Royal Society Open Science. 2024 Jul 3. PMID: 39076375 PMCID: PMC11285753 DOI: 10.1098/rsos.240248