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Bio
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.
Research Interests
Papers共 53 篇Author StatisticsCo-AuthorSimilar Experts
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PLOS GENETICSno. 2 (2024): e1011158-e1011158
PLoS biologyno. 5 (2023): e3001822-e3001822
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Jillian G. Hoffstadt,Jesse W. Wotring, Sam Porter, Benjamin Halligan,Matthew J. O’Meara,Andrew W. Tai,Jonathan Z. Sexton
biorxiv(2023)
Katura Metzner,Matthew J O’Meara, Benjamin Halligan,Jesse W. Wotring,Jonathan Z Sexton,Teresa R O’Meara
ANTIMICROBIAL AGENTS AND CHEMOTHERAPYno. 7 (2023)
biorxiv(2022)
Jesse W. Wotring,Sean M. McCarty,Khadija Shafiq,Charles J. Zhang, Theophilus Nguyen,Sophia R. Meyer,Reid Fursmidt,Carmen Mirabelli, Martin C. Clasby,Christiane E. Wobus,Matthew J. O’Meara,Jonathan Z. Sexton
Vaccinesno. 8 (2022): 1284
Neuropharmacology (2022): 109376-109376
Lisa T. Pulianmackal,Jose Miguel I. Limcaoco,Keerthikka Ravi,Sinyu Yang, Jeffrey Zhang, Mimi K. Tran,Matthew J. O’Meara,Anthony G. Vecchiarelli
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