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个人简介
Matt's recent interests are in developing statistical and machine learning methods to model complex experimental design problems for pharmacology and biochemistry. Recent breakthroughs in experimental methods and rich simulation based models in the biological sciences promise to enable new insights and discoveries. However, as these methods scale, an increasing bottleneck is expert synthesis to plan highly informative experiments. By modeling experiments probabilistically, it is possible to holistically capture the assumptions and data, the decisions, and the outcomes. This rigor enables navigating the space of experimental designs to maximize the information gain and making new discoveries. Excitingly, recent breakthroughs in statistics and machine learning for building and fitting structured probabilistic models make it now practical to apply these models at scale.
研究兴趣
论文共 47 篇作者统计合作学者相似作者
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Jillian G. Hoffstadt,Jesse W. Wotring, Sam Porter, Benjamin Halligan,Matthew J. O’Meara,Andrew W. Tai,Jonathan Z. Sexton
biorxiv(2023)
bioRxiv the preprint server for biology (2023)
Katura Metzner,Matthew J. O'Meara, Benjamin Halligan,Jesse W. Wotring,Jonathan Z. Sexton,Teresa R. O'Meara
bioRxiv the preprint server for biology (2023)
PLoS biologyno. 5 (2023): e3001822-e3001822
bioRxiv the preprint server for biology (2023)
biorxiv(2022)
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作者统计
#Papers: 47
#Citation: 8215
H-Index: 23
G-Index: 35
Sociability: 6
Diversity: 3
Activity: 99
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