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职业迁徙
个人简介
During the last 18 years I've worked mainly in the use of statistics and statistical computing in bioinformatics problems. For instance, I've worked on classification problems (e.g., the random forest and GeneSrF papers), as well as gene differential expression (e.g., Pomelo paper, and several collaborative papers), on the usage of parallel computing for web-based stats applications for bioinformatics problems (the papers about Asterias, SignS, etc), and on the identification of DNA copy number alterations from aCGH data (e.g., the HMM and the recurrent regions papers).
During the last five years or so, I've started working on trying to understand the sequence of driver genetic events and predict tumor evolution using methods that take ideas from phylogenetic methods (sort of a return to some things I did in the past, during my PhD) and probabilistic graphical models. This has led me to deal, too, with simulating clonal evolution processes. This area is actually my main major focus: cancer progression models and evolutionary models of cancer (not unlike applying ecology and evolutionary biology to the study of cancer).
My main current research interest include:
Evolutionary biology and its applications to cancer.
Classification problems with “omics” data.
Statistical computing, in particular the usage of parallel computing, as applied to bioinformatics problems.
Causal inference.
General statistical data analysis for interesting research questions.
研究兴趣
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Physics of Life Reviews (2022)
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