Collin A. Politsch, Ph.D.
Affiliations: | 2020-2021 | Machine Learning Department | Carnegie Mellon University, Pittsburgh, PA |
| 2022- | Institute of Astronomy, Kavli Institute for Cosmology | University of Cambridge, Cambridge, England, United Kingdom |
Area:
Data Science, Machine Learning, Spatial Statistics, Data-Driven AstrophysicsWebsite:
https://collinpolitsch.com/Google:
"Collin Politsch"Parents
Sign in to add mentor| Rupert A. C. Croft | grad student | 2015-2020 | Carnegie Mellon (Physics Tree) |
| Jessi J. Cisewski-Kehe | grad student | 2015-2020 | Yale |
| Larry Wasserman | grad student | 2015-2020 | Carnegie Mellon |
Collaborators
Sign in to add collaborator| Ryan Tibshirani | collaborator | 2020-2021 | Carnegie Mellon | |
| (Postdoc Supervisor) | ||||
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Publications
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| Cramer EY, Ray EL, Lopez VK, et al. (2022) Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proceedings of the National Academy of Sciences of the United States of America. 119: e2113561119 |
| Reinhart A, Brooks L, Jahja M, et al. (2021) An open repository of real-time COVID-19 indicators. Proceedings of the National Academy of Sciences of the United States of America. 118 |
| Politsch CA, Cisewski-Kehe J, Croft RAC, et al. (2020) Trend filtering – II. Denoising astronomical signals with varying degrees of smoothness Monthly Notices of the Royal Astronomical Society. 492: 4019-4032 |
| Politsch CA, Cisewski-Kehe J, Croft RAC, et al. (2020) Trend filtering – I. A modern statistical tool for time-domain astronomy and astronomical spectroscopy Monthly Notices of the Royal Astronomical Society. 492: 4005-4018 |