基本信息
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Bio
My main field of research is in statistical machine learning. I am interested in the mathematical side of the subject as well as in applications in linguistics and biology.
On the methodology side, I am interested in Monte Carlo methods such as SMC and MCMC, graphical models, non-parametric Bayesian statistics, randomized algorithms, and variational inference.
My favoriate applications, both in linguistics and biology, are related to phylogenetics in one way or another. Some examples of things I have currently/recently been working on: automated reconstruction of proto-languages; cancer phylogenetics; population genetics; pedigrees, tree and alignment inference.
In the past, I also did some work on machine translation, on logical characterization and approximation of labeled Markov processes, and on reinforcement learning.
Research Interests
Papers共 65 篇Author StatisticsCo-AuthorSimilar Experts
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JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATIONpp.1-25, (2024)
STATISTICAL SCIENCEno. 1 (2024): 46-61
Cited52Views0EIBibtex
52
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Journal of Computational and Graphical Statisticspp.1-39, (2023)
Peer Community Journalpp.1-44, (2023)
International Conference on Artificial Intelligence and Statisticspp.4600-4608, (2023)
Zenodo (CERN European Organization for Nuclear Research) (2023)
Eric Lee,Kevin Chern,Michael Nissen,Xuehai Wang, Chris IMAXT Consortium,Chris Huang,Anita K. Gandhi,Alexandre Bouchard-Cote,Andrew P. Weng,Andrew Roth
BIOINFORMATICSno. Supplement_1 (2023): I131-I139
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Author Statistics
#Papers: 66
#Citation: 3205
H-Index: 24
G-Index: 56
Sociability: 6
Diversity: 1
Activity: 1
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