Our long-term goal is to discover cures for aging-associated diseases, especially Alzheimer’s disease and other neurodegenerative disorders. To achieve this goal, we develop technologies at the interface of data science and analytical chemistry, which we use to map basic metabolism and discover drug leads. We are a hybrid wet/dry lab; we build new methods to collect proteomic and metabolomic data with mass spectrometry, as well as new computational methods for data interpretation. We are also excited about building new ways to automate data interpretation, especially with machine learning.
My research vision is to combine faster omics data generation with automated data interpretation to enable new paradigms in biological discovery. This hybrid approach is powerful because we can generate data to build models, and then we can experimentally validate our predictions in the lab.
Jesse G. Meyer, PhD
- High-throughput proteomics and metabolomics
- Omics data science and multi-omic data integration
- Applications of machine learning to biology and chemistry
- Automated knowledge extraction from electronic health records
- Proteome informatics
- Computational drug discovery
Meet Our Team
We are a team comprised of diverse backgrounds, skills and interests who share a common goal to discover cures for human disease.
Dickinson Q, Meyer JG.
PLoS Comput Biol. 2022 Jan 28;18(1):e1009736.
Cranney CW, Meyer JG.
Anal Chem. 2021 Sep 14;93(36):12312-12319.
Dermit M, Peters-Clarke TM, Shishkova E, Meyer JG.
J Proteome Res. 2021 Apr 2;20(4):1972-1980.
Meyer JG, Niemi NM, Pagliarini DJ, Coon JJ.
Nat Methods. 2020 Dec;17(12):1222-1228.