Education

• B.Eng in Environmental Engineering  University of Science & Technology Beijing  2006
• M.S. in Civil & Environmental Engineering  Carnegie Mellon University  2007
• M.S. in Machine Learning  Carnegie Mellon University  2011
• Ph.D. in Civil & Environmental Engineering and Engineering & Public Policy  Carnegie Mellon University  2011

Background

• Director of Graduate Studies, Environmental and Occupational Health
• Associate Professor (with Tenure), 07/2020 - Present, Indiana University Bloomington (IUB); Assistant Professor, 08/2014-06/2020, IUB; ORISE Postdoctoral Fellow, 8/2011 - 7/2014, US EPA National Center for Environmental Assessment
• Principal Investigator. NIH/NIEHS (9R42ES032642-02). Project Title: Develop and Commercialize the Bayesian Dose-Response Modeling System and Services. $2,046,603 (07/2020 ? 6/2022)
• Principal Investigator. NIH/NIEHS (1K25ES030402-01A1). Project Title: Quantitative Dose-Response Characterization for Liver Carcinogenicity with Non-Mutagenic Modes of Action. $764,363 (01/2020 ? 12/2024)
• Principal Investigator. NIH/NCATS (3R41TR002567-01A1S1). Project Title: Software and Services to Advance Does-Response Modeling in Chemical Risk Assessment. $55,000 (04/2019 ? 12/2019)
• Principal Investigator. Indiana Economic Development Corporation (IEDC). Match-Up Grant for NIH/STTR Award "Software and Services to Advance Dose-Response Modeling in Chemical Risk Assessment". $50,000 (08/2018 ? 12/2019)
• Principal Investigator. NIH/NCATS (1R41TR002567-01A1). Project Title: Software and Services to Advance Does-Response Modeling in Chemical Risk Assessment. $245,130 (08/2018 ? 12/2019)
• Principal Investigator. IU President's International Research Awards. Title: Probabilistic Risk Assessment to Enhance Risk-Based Decision Making for Food Safety Regulation in China - A Case Study of Inorganic Arsenic in Rice. $149,862 (2017- 20)

Scholarly Interest

Dr. Shao's research has been focused on advancing human health risk assessment to support chemical safety regulation, with a special interest in improving quantitative dose-response and exposure assessment via innovative modeling methodologies.

Selected Publications

Articles

Shao, K*; Shapiro, A. A Web Based System for Bayesian Benchmark Dose Estimation. Environmental Health Perspectives. 2018. 126 (1): 017002. https://doi.org/10.1289/EHP1289

Yang, G; Li, J; Wang, Y; Chen, C; Zhao, H; Shao, K*. Quantitative Ecotoxicity Analysis for Pesticide Mixtures using Benchmark Dose Methodology. Ecotoxicology and Environmental Safety. 2018. 159: 94-101. https://doi.org/10.1016/j.ecoenv.2018.04.055

Kullar, S; K Shao; C Surette; D Foucher; D Mergler, P Cormier; DC Bellinger; B Barbeau; S Sauvé; MF Bouchard*. A Benchmark Concentration Analysis for Manganese in Drinking Water and IQ Deficits in Children. Environment International. 2019. 130:104889. https://doi.org/10.1016/j.envint.2019.05.083

Shao, K*; Chen, Q; Wang, Z. Quantifying Association between Liver Tumor Incidence and Early-stage Liver Weight Increase ? An NTP Data Analysis. Toxicology Reports. 2019. 6: 674-682. https://doi.org/10.1016/j.toxrep.2019.07.001

Zhou, Z; Kang, Y; Li, H; Cao, S; Xu, J; Duan, X; Yang, G; and Shao, K*. Estimating Inorganic Arsenic Exposure from Rice Intake in Chinese Urban Population. Environmental Pollution. 2020. 263: 114397. https://doi.org/10.1016/j.envpol.2020.114397

Allen, B; Shao, K; Hobbie, K; Mendez Jr., W; Lee, JS; Cote, I; Druwe, I; Gift, J; Davis, JA*. Systematic Dose-Response of Environmental Epidemiologic Studies: Dose and Response Pre-Analysis. Environmental International. 2020. 142: 105810. https://doi.org/10.1016/j.envint.2020.105810

Mendez Jr., W; Shao, K; Lee, JS; Cote, I; Druwe, I; Davis, JA; Gift, J*. Model Averaging Methods for the Evaluation of Dose-response Model Uncertainty When Assessing the Suitability of Studies for Estimating Risk. Environmental International. 2020. 143: 105857. https://doi.org/10.1016/j.envint.2020.105857