Aleksandr (Sasha) Aravkin, PhD, MS, is Associate Professor in the Department of Applied Mathematics and Adjunct Associate Professor of Health Metrics Sciences, Mathematics, and Statistics, and Director of Mathematical Sciences at the Institute for Health Metrics and Evaluation (IHME) at the University of Washington. At IHME, Dr. Aravkin contributes to the strategic direction of the application, uptake, and expansion of mathematical sciences applied to cross-cutting analytic challenges at IHME and seeks out strategic partnerships and opportunities that would enhance IHME’s ability to create innovative science and solve persistent data and analytic challenges using mathematical sciences. He also leads the Mathematical Sciences and Computational Algorithms team at IHME.
Dr. Aravkin’s work focuses on large scale optimization, machine learning and data science. Dr. Aravkin has been working with IHME to develop the Evidence Score model, which requires the development and implementation of entirely new modes and algorithms, as well as emerging methodologies. His work on fusing physics-based and data-driven models allows him to collaborate broadly across campus, as well as with researchers in many universities and in industry.
Dr. Aravkin earned a PhD in Mathematics and MS in Statistics from University of Washington.
IHME was established at the University of Washington in Seattle in 2007. Its mission is to improve health through better health evidence.
Burkart KG, Brauer M, Aravkin AY, Godwin WW, Hay SI, He J, Iannucci VC, Larson SL, Lim SS, Liu J, Murray CJL, Zheng P, Zhou M, Stanaway JD. Estimating the cause-specific relative risks of non-optimal temperature on daily mortality: a two-part modelling approach applied to the Global Burden of Disease Study. The Lancet. 19 August 2021. doi: 10.1016/S0140-6736(21)01700-1.
Causey K, Fullman N, Sorensen RJD, Galles NC, Zheng P, Aravkin A, Danovaro-Holliday MC, Martinez-Piedra R, Sodha SV, Velandia-Gonzalez MP, Gacic-Dobo M, Castro E, He J, Schipp M, Deen A, Hay SI, Lim SS, Mosser JF. Estimating global and regional disruptions to routine childhood vaccine coverage during the COVID-19 pandemic in 2020: a modelling study. The Lancet. 15 July 2021. doi: 10.1016/S0140-6736(21)01337-4.
Balaj M, Wade York H, Sripada K, Besnier E, Dahl Vonen H, Aravkin A, Friedman J, Griswold M, Jensen MR, Mohammad T, Mullany EC, Solhaug S, Sorensen R, Stonkute D, Tallaksen A, Whisnant J, Zheng P, Gakidou E, Eikemo TA. Parental education and inequalities in child mortality: a global systematic review and meta-analysis. The Lancet. 10 June 2021. doi: 10.1016/ S0140-6736(21)00787-X.
Dieleman JL. Kaldjian AS, Sahu M, Chen C, Liu A, Chapin A, Woody Scott K, Aravkin S, Zheng P, Mokdad A, Murray CJL, Schulman K, Milstein A. Estimating health care delivery system value for each US state and testing key associations. Health Services Research. 24 May 2021. doi: 10.1111/1475-6773.13676.
Zheng P, Barber R, Sorensen R, Murray C, Aravkin A. Trimmed Constrained Mixed Effects Models: Formulations and Algorithms. Journal of Computational and Graphical Statistics. 4 January 2021. doi: 10.1080/10618600.2020.1868303.
IHME COVID-19 Forecasting Team. Modeling COVID-19 scenarios for the United States. Nature Medicine. 23 October 2020. doi:10.1038/s41591-020-1132-9.
GBD 2019 Risk Factors Collaborators. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet. 17 October 2020. doi:10.1016/S0140-6736(20)30752-2.
GBD 2019 Universal Health Coverage Collaborators. Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet. 27 August 2020. doi:10.1016/S0140-6736(20)30750-9.