Turgay Ayer
· Virginia C. and Joseph C. Mello Chair ProfessorGeorgia Institute of Technology · Industrial and Systems Engineering
Active 2009–2026
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About
Turgay Ayer is the Virginia C. and Joseph C. Mello Chair & Professor at the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. The provided page primarily lists his students and their academic achievements, with no specific details about his research focus, background, or key contributions. Therefore, there is no additional biographical information available on this page.
Research topics
- Computer Science
- Political Science
- Medicine
- Artificial Intelligence
- Geography
- Economics
- Econometrics
- Business
- Machine Learning
- Operations research
Selected publications
Proceedings of the National Academy of Sciences · 2022 · 311 citations
Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Forecast Hu…
The Lancet Public Health · 2020 · 168 citations
BACKGROUND: Alcohol-related liver disease is the leading indication for liver transplantation in the USA. After remaining stable for over three decades, the number of deaths due to alcohol-related liver disease has been increasing as a result of increased high-risk drinking. We aimed to project trends in alcohol-related cirrhosis and deaths in the USA up to 2040 and assess the effect of potential changes in alcohol consumption on those trends. METHODS: In this modelling study, we developed a mul…
The United States COVID-19 Forecast Hub dataset
Scientific Data · 2022 · 126 citations
Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hosp…
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
medRxiv (Cold Spring Harbor Laboratory) · 2021 · 77 citations
Abstract Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Fo…
A Tool to Inform Hepatitis C Elimination: A Case for Hepatitis C Elimination in China
Clinical Liver Disease · 2021 · 7 citations
Watch a video presentation of this article The World Health Organization (WHO) recently launched a global campaign for eliminating hepatitis C virus (HCV) as a public health threat by the year 2030. The campaign aims to reduce HCV incidence by 80% and HCV-related mortality by 65%, primarily through achieving a diagnosis rate of at least 90% and treatment coverage rate of at least 80%.1 However, most countries do not have a national strategy for HCV screening and treatment that can lead to HCV el…
Recent grants
CAREER: Optimal Management of Chronic Diseases Caused by Infections
NSF · $500k · 2015–2021
SCH: EXP: Smart Adaptive Adherence-Enhancing Intervention Strategies for Breast Cancer Prevention
NSF · $290k · 2017–2020
SCH: INT: Collaborative Research: Smart Intervention Strategies for Hepatitis C Elimination
NSF · $430k · 2017–2023
Frequent coauthors
- 271 shared
Jagpreet Chhatwal
Massachusetts General Hospital
- 88 shared
Neehar D. Parikh
University of Michigan–Ann Arbor
- 87 shared
A. Burak Ozbay
Exact Sciences (United States)
- 82 shared
Benjamin Haaland
University of Utah
- 81 shared
Kyle Porter
- 74 shared
Carol Kirshner
- 72 shared
Shubham Chakankar
The University of Texas Southwestern Medical Center
- 65 shared
Qiushi Chen
Pennsylvania State University
Labs
Awards & honors
- Career Award, National Science Foundation (2015)
- Seth Bonder Foundation Research Award (2012)
- First Prize, INFORMS Doing Good with Good OR Competition (20…
- Second Prize, INFORMS MSOM Society Student Paper Competition…
- Finalist in INFORMS Decision Analysis Society Student Paper…
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