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At the intersection of machine learning, biology, and health: an interview with Lorin Crawford
Lorin Crawford began his independent career at Brown University School of Public Health with his own lab in the summer of 2017. He is currently a Senior Researcher at Microsoft Research, New England while also keeping his faculty position at Brown University. In this short Q&A he tells us about...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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Nature Publishing Group UK
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7782475/ https://www.ncbi.nlm.nih.gov/pubmed/33398050 http://dx.doi.org/10.1038/s42003-020-01503-1 |
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collection | PubMed |
description | Lorin Crawford began his independent career at Brown University School of Public Health with his own lab in the summer of 2017. He is currently a Senior Researcher at Microsoft Research, New England while also keeping his faculty position at Brown University. In this short Q&A he tells us about his research and the effect the pandemic has had on his lab and science. Dr. Crawford also shares some great tips on academic careers and making biostatistics approachable to wider audience and his views on the most exciting application of machine learning. |
format | Online Article Text |
id | pubmed-7782475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77824752021-01-11 At the intersection of machine learning, biology, and health: an interview with Lorin Crawford Commun Biol Q&A Lorin Crawford began his independent career at Brown University School of Public Health with his own lab in the summer of 2017. He is currently a Senior Researcher at Microsoft Research, New England while also keeping his faculty position at Brown University. In this short Q&A he tells us about his research and the effect the pandemic has had on his lab and science. Dr. Crawford also shares some great tips on academic careers and making biostatistics approachable to wider audience and his views on the most exciting application of machine learning. Nature Publishing Group UK 2021-01-04 /pmc/articles/PMC7782475/ /pubmed/33398050 http://dx.doi.org/10.1038/s42003-020-01503-1 Text en © Springer Nature Limited 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Q&A At the intersection of machine learning, biology, and health: an interview with Lorin Crawford |
title | At the intersection of machine learning, biology, and health: an interview with Lorin Crawford |
title_full | At the intersection of machine learning, biology, and health: an interview with Lorin Crawford |
title_fullStr | At the intersection of machine learning, biology, and health: an interview with Lorin Crawford |
title_full_unstemmed | At the intersection of machine learning, biology, and health: an interview with Lorin Crawford |
title_short | At the intersection of machine learning, biology, and health: an interview with Lorin Crawford |
title_sort | at the intersection of machine learning, biology, and health: an interview with lorin crawford |
topic | Q&A |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7782475/ https://www.ncbi.nlm.nih.gov/pubmed/33398050 http://dx.doi.org/10.1038/s42003-020-01503-1 |