Xindi C Hu

ORCID

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 11

Top Venues

Current environmental health reports

Environmental science & technology

Environmental science & technology letters

Proceedings of the National Academy of Sciences of the United States of America

Mathematica Policy Research Inc

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Mathematica Policy Research Inc Oct 22 2018

United States

Data Scientist

Publications

Mona Q Dai, Benjamin M Geyman, Xindi C Hu, Colin P Thackray, Elsie M Sunderland
Sociodemographic Disparities in Mercury Exposure from United States Coal-Fired Power Plants. Environmental science & technology letters 10 (7) (2023)
Aparna Keshaviah, Ian Huff, Xindi C Hu, Virginia Guidry, Ariel Christensen, Steven Berkowitz, Stacie Reckling, Rachel T Noble, Thomas Clerkin, Denene Blackwood, Sandra L McLellan, Adélaïde Roguet, Isabel Musse
Separating signal from noise in wastewater data: An algorithm to identify community-level COVID-19 surges in real time. Proceedings of the National Academy of Sciences of the United States of America 120 (31) (2023)
Xindi C Hu, Mona Q Dai, Jennifer M Sun, Elsie M Sunderland
The Utility of Machine Learning Models for Predicting Chemical Contaminants in Drinking Water: Promise, Challenges, and Opportunities. Current environmental health reports (2022)
Xindi C Hu, Mona Q Dai, Jennifer M Sun, Elsie M Sunderland
The Utility of Machine Learning Models for Predicting Chemical Contaminants in Drinking Water: Promise, Challenges, and Opportunities. Current environmental health reports 10 (1) (2022)
Xindi C Hu, Mona Q Dai, Jennifer M Sun, Elsie M Sunderland
The Utility of Machine Learning Models for Predicting Chemical Contaminants in Drinking Water: Promise, Challenges, and Opportunities. Current environmental health reports 10 (1) (2022)
Xindi C Hu, Mona Q Dai, Jennifer M Sun, Elsie M Sunderland
The Utility of Machine Learning Models for Predicting Chemical Contaminants in Drinking Water: Promise, Challenges, and Opportunities. Current environmental health reports 10 (1) (2022)
Xindi C Hu, Mona Q Dai, Jennifer M Sun, Elsie M Sunderland
The Utility of Machine Learning Models for Predicting Chemical Contaminants in Drinking Water: Promise, Challenges, and Opportunities. Current environmental health reports 10 (1) (2022)
Xindi C Hu, Mona Q Dai, Jennifer M Sun, Elsie M Sunderland
The Utility of Machine Learning Models for Predicting Chemical Contaminants in Drinking Water: Promise, Challenges, and Opportunities. Current environmental health reports 10 (1) (2022)
Bridger J Ruyle, Heidi M Pickard, Denis R LeBlanc, Andrea K Tokranov, Colin P Thackray, Xindi C Hu, Chad D Vecitis, Elsie M Sunderland
Isolating the AFFF Signature in Coastal Watersheds Using Oxidizable PFAS Precursors and Unexplained Organofluorine. Environmental science & technology 55 (6) (2021)
Clifton Dassuncao, Xindi C Hu, Flemming Nielsen, Pál Weihe, Philippe Grandjean, Elsie M Sunderland
Shifting Global Exposures to Poly- and Perfluoroalkyl Substances (PFASs) Evident in Longitudinal Birth Cohorts from a Seafood-Consuming Population. Environmental science & technology 52 (6) (2018)
Clifton Dassuncao, Xindi C Hu, Xianming Zhang, Rossana Bossi, Maria Dam, Bjarni Mikkelsen, Elsie M Sunderland
Temporal Shifts in Poly- and Perfluoroalkyl Substances (PFASs) in North Atlantic Pilot Whales Indicate Large Contribution of Atmospheric Precursors. Environmental science & technology 51 (8) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xindi C Hu