基本信息
浏览量:178
职业迁徙
个人简介
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.
研究兴趣
论文共 58 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Bioinformaticsno. Supplement_1 (2023): i131-i139
Evan Sidrow,Nancy Heckman,Alexandre Bouchard-Côté, Sarah M. E. Fortune,Andrew W. Trites,Marie Auger-Mèthè
arXiv (Cornell University) (2023)
引用0浏览0引用
0
0
CoRR (2023)
引用0浏览0EI引用
0
0
arXiv (Cornell University) (2023)
引用0浏览0引用
0
0
Zenodo (CERN European Organization for Nuclear Research) (2023)
引用0浏览0引用
0
0
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGYno. 2 (2022): 321-350
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn