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{{short description|Spanish-American epidemiologist}}
{{short description|Spanish-American epidemiologist}}
'''Miguel Hernán''' is a Spanish-American epidemiologist. He is the Kolokotrones Professor of Biostatistics and Epidemiology at the [[Harvard T.H. Chan School of Public Health]] and Member of the Faculty at the [[Harvard–MIT Program in Health Sciences and Technology]].
'''Miguel Hernán''' is a Spanish–American epidemiologist. He is Director of CAUSALab, Kolokotrones Professor of Biostatistics and Epidemiology at the [[Harvard T.H. Chan School of Public Health]], and Member of the Faculty at the [[Harvard–MIT Program in Health Sciences and Technology]].


Hernán conducts research to learn what works to improve human health. Together with his collaborators from several countries, he designs analyses of healthcare databases, epidemiologic studies, and randomized trials. He is a Global Highly Cited Researcher.<ref>[https://recognition.webofsciencegroup.com/awards/highly-cited/2019/ Web of Science Highly Cited Researchers 2019]</ref> His free edX course ''Causal Diagrams''<ref>[https://www.edx.org/course/causal-diagrams-draw-your-assumptions-before-your]edX Causal Diagrams course</ref> has had over 50,000 registrations. His book ''Causal Inference: What If'',<ref>Hernán MA, Robins JM (2020). ''Causal Inference: What If.'' Boca Raton: Chapman & Hall/CRC.[https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/]''</ref> co-authored with [[James Robins]] is also freely available online and widely used for the training of researchers.
Hernán conducts research to learn what works to improve human health. Together with his collaborators from several countries, he designs analyses of healthcare databases, epidemiologic studies, and randomized trials. He is in the 1% of Highly Cited Researchers since 2017.<ref>[https://clarivate.com/highly-cited-researchers/?action=clv_hcr_members_filter&clv-paged=1&clv-category=&clv-institution=&clv-region=&clv-name=hernan%2C%20miguel] Highly Cited Researchers</ref> His free edX course ''Causal Diagrams''<ref>[https://www.edx.org/course/causal-diagrams-draw-your-assumptions-before-your] edX Causal Diagrams course</ref> has had over 80,000 registrations. His book ''Causal Inference: What If'',<ref>Hernán MA, Robins JM (2020). ''Causal Inference: What If.'' Boca Raton: Chapman & Hall/CRC.[https://miguelhernan.org/whatifbook]</ref> co-authored with [[James Robins]] is also freely available online and widely used for the training of researchers.


Hernán is Editor Emeritus of [[Epidemiology (journal)]], and past Associate Editor of [[Biometrics (journal)]], [[American Journal of Epidemiology]], and the [[Journal of the American Statistical Association]]. He has been Special Government Employee of the U.S. [[Food and Drug Administration]] and has served on several committees of the [[National Academies of Sciences, Engineering, and Medicine]] of the United States.
Hernán is a Methods Editor for [[Annals of Internal Medicine]], Editor Emeritus of [[Epidemiology (journal)]] and past Associate Editor of [[Biometrics (journal)]], [[American Journal of Epidemiology]], and the [[Journal of the American Statistical Association]]. He has been a [[special Government employee]] of the U.S. [[Food and Drug Administration]] and has served on several committees of the [[National Academies of Sciences, Engineering, and Medicine]] of the United States.
==Education==
==Education==
*M.D., 1995, [[Universidad Autónoma de Madrid]], Spain
*Licenciado en Medicina, 1995, [[Universidad Autónoma de Madrid]], Spain
*Master of Public Health (Quantitative Methods), 1996, [[Harvard University]], USA
*Master of Public Health (Quantitative Methods), 1996, [[Harvard University]], USA
*Master of Science (Biostatistics), 1999, [[Harvard University]], USA
*Master of Science (Biostatistics), 1999, [[Harvard University]], USA
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==Honors and awards==
==Honors and awards==
* Fellow, [[La Caixa]] Foundation, 1995-1997
* Fellow, [[La Caixa]] Foundation, 1995–1997
* Fellow, [[American Association for the Advancement of Science]] (AAAS), elected in 2012
* Fellow, [[American Association for the Advancement of Science]] (AAAS), elected in 2012
* MERIT Award, [[National Institute of Allergy and Infectious Diseases]], U.S. National Institutes of Health, 2018
* MERIT Award, [[National Institute of Allergy and Infectious Diseases]], U.S. National Institutes of Health, 2018
* Fellow, [[American Statistical Association]], elected in 2019
* Fellow, [[American Statistical Association]], elected in 2019
* 2022 Alumni Prize, Universidad Autónoma de Madrid
* 2022 [[Rousseeuw Prize for Statistics]], [[King Baudouin Foundation]], Belgium (jointly with [[James Robins]], Thomas Richardson, [[Andrea Rotnitzky]] and Eric Tchetgen Tchetgen)<ref>{{Cite web |date=20 June 2022 |title=2022 Rousseeuw Prize awarded to Causal Inference |url=https://www.rousseeuwprize.org/news/winners-2022 |access-date=2022-09-09 |website=Rousseeuw Prize}}</ref>


===Scientific articles===
===Scientific articles===
* Runner-up to Best Research Report, Health Research Training Program, New York City Department of Health, 1994
* Runner-up to Best Research Report, Health Research Training Program, New York City Department of Health, 1994
* Kenneth Rothman Epidemiology Prize, [[Epidemiology (journal)]], 2005
* Kenneth Rothman Epidemiology Prize, [[Epidemiology (journal)]], 2005 (first author), 2021 (co-author)
* Top 10 Article of the Year, [[American Journal of Epidemiology]], 2014, 2015, 2016
* Top 10 Article of the Year, [[American Journal of Epidemiology]], 2014, 2015, 2016
* Award for Outstanding Research Article in Biosurveillance (Category: Impact on the field, 2nd prize), [[International Society for Disease Surveillance]], 2016
* Award for Outstanding Research Article in Biosurveillance (Category: Impact on the field, 2nd prize), [[International Society for Disease Surveillance]], 2016
* Influential Paper, American Journal of Epidemiology Centennial: first author and co-author of 2 of 4 selected influential articles published in the first 100 years of the journal

===Teaching and mentoring===
* Excellence in Teaching Citation, Harvard School of Public Health, 2005
* Mentoring Award, Harvard School of Public Health, 2011
* Outstanding Postdoctoral Mentor Award, [[Harvard T.H. Chan School of Public Health]], 2019


== External links ==
== External links ==
*{{Cite web |url=https://www.hsph.harvard.edu/miguel-hernan|title=Harvard Faculty Website, Miguel Hernán|publisher=harvard.edu |accessdate=May 1, 2017}}
*{{Cite web |url=https://miguelhernan.org|title=Website, Miguel Hernán |accessdate=December 23, 2024}}
*{{Cite web |url=https://scholar.google.com/citations?user=vGpPHEgAAAAJ&hl=en |title=Google Scholar, Miguel Hernán|publisher=[[Google Scholar]]|accessdate=April 25, 2020}}
*{{Cite web |url=https://scholar.google.com/citations?user=vGpPHEgAAAAJ&hl=en |title=Google Scholar, Miguel Hernán|publisher=[[Google Scholar]]|accessdate=April 25, 2020}}


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{{Authority control}}
{{Authority control}}


{{DEFAULTSORT:Hernán, Miguel}}
{{DEFAULTSORT:Hernan, Miguel}}
[[Category:1970 births]]
[[Category:1970 births]]
[[Category:Living people]]
[[Category:Living people]]
[[Category:Harvard School of Public Health faculty]]
[[Category:Harvard T.H. Chan School of Public Health faculty]]
[[Category:American epidemiologists]]
[[Category:American epidemiologists]]
[[Category:Biostatisticians]]
[[Category:Biostatisticians]]
[[Category:Fellows of the American Statistical Association]]
[[Category:Fellows of the American Statistical Association]]
[[Category:Harvard School of Public Health alumni]]
[[Category:Harvard T.H. Chan School of Public Health alumni]]
[[Category:Autonomous University of Madrid alumni]]
[[Category:Autonomous University of Madrid alumni]]


{{US-med-bio-stub}}

Latest revision as of 11:58, 24 December 2024

Miguel Hernán is a Spanish–American epidemiologist. He is Director of CAUSALab, Kolokotrones Professor of Biostatistics and Epidemiology at the Harvard T.H. Chan School of Public Health, and Member of the Faculty at the Harvard–MIT Program in Health Sciences and Technology.

Hernán conducts research to learn what works to improve human health. Together with his collaborators from several countries, he designs analyses of healthcare databases, epidemiologic studies, and randomized trials. He is in the 1% of Highly Cited Researchers since 2017.[1] His free edX course Causal Diagrams[2] has had over 80,000 registrations. His book Causal Inference: What If,[3] co-authored with James Robins is also freely available online and widely used for the training of researchers.

Hernán is a Methods Editor for Annals of Internal Medicine, Editor Emeritus of Epidemiology (journal) and past Associate Editor of Biometrics (journal), American Journal of Epidemiology, and the Journal of the American Statistical Association. He has been a special Government employee of the U.S. Food and Drug Administration and has served on several committees of the National Academies of Sciences, Engineering, and Medicine of the United States.

Education

[edit]

Honors and awards

[edit]

Scientific articles

[edit]
  • Runner-up to Best Research Report, Health Research Training Program, New York City Department of Health, 1994
  • Kenneth Rothman Epidemiology Prize, Epidemiology (journal), 2005 (first author), 2021 (co-author)
  • Top 10 Article of the Year, American Journal of Epidemiology, 2014, 2015, 2016
  • Award for Outstanding Research Article in Biosurveillance (Category: Impact on the field, 2nd prize), International Society for Disease Surveillance, 2016
  • Influential Paper, American Journal of Epidemiology Centennial: first author and co-author of 2 of 4 selected influential articles published in the first 100 years of the journal
[edit]
  • "Website, Miguel Hernán". Retrieved December 23, 2024.
  • "Google Scholar, Miguel Hernán". Google Scholar. Retrieved April 25, 2020.

References

[edit]
  1. ^ [1] Highly Cited Researchers
  2. ^ [2] edX Causal Diagrams course
  3. ^ Hernán MA, Robins JM (2020). Causal Inference: What If. Boca Raton: Chapman & Hall/CRC.[3]
  4. ^ "2022 Rousseeuw Prize awarded to Causal Inference". Rousseeuw Prize. 20 June 2022. Retrieved 2022-09-09.
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