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Alan Le Goallec

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Harvard University, Cambridge, MA, USAPh.D and M.SSystems Biology
University of Cambridge, Cambridge, UKM.Phil08/2015Engineering
École Nationale des Ponts et Chaussées, Paris, FRM.S and B.S08/2015Engineering
2nd Place at Harvard vs. MIT Case Competition
2015 - 2017
Lynch Foundation Fellowship

I am currently a PhD candidate in Systems Biology at Harvard Medical School.
I did my undergraduate in France at Ecole Nationale des Ponts et Chaussees, where I majored in Mathematics and Physics.
However my strongest interest lies in medicine, so after a M.Phil in Bioengineering at Cambridge, I decided to specialize in machine learning with the aim to improve medical care.

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Le Goallec A, Tierney BT, Luber JM, Cofer EM, Kostic AD, Patel CJ. A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type. PLoS Comput Biol. 2020 05; 16(5):e1007895. PMID: 32392251.
    Citations: 2     Fields:    Translation:Humans
  2. Le Goallec A, Patel CJ. Age-dependent co-dependency structure of biomarkers in the general population of the United States. Aging (Albany NY). 2019 02 28; 11(5):1404-1426. PMID: 30822279.
    Citations: 2     Fields:    Translation:Humans
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.