Matthew Reimherr
Affiliate Professor of Statistics, Department of Statistics, Pennsylvania State University
Interests
- Functional data analysis
- Longitudinal data analysis
- Statistical genetics
- High dimensional regression and screening
- Data privacy
- Shape analysis
Education
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Ph.D. in Statistics,
University of Chicago
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M.S. in Statistics,
University of Utah
Biography
Matthew’s research interests include functional data analysis, longitudinal data analysis, and data privacy with applications to Omics data.
Publications
SJC Craig, AM Kenney, J Lin, IM Paul, LL Birch, JS Savage, ME Marini, F Chiaromonte, M Reimherr, KD Makova.
Polygenic risk score based on weight gain trajectories is a strong predictor of childhood obesity.
BIORXIV,
2019.
MA Cremona, H Xu, KD Makova, M Reimherr, F Chiaromonte, P Madrigal.
Functional data analysis for computational biology.
BIOINFORMATICS,
2019.
SJC Craig, D Blankenberg, ACL Parodi, IM Paul, LL Birch, JS Savage, ME Marini, JL Stokes, A Nekrutenko, M Reimherr, F Chiaromonte, KD Makova.
Child Weight Gain Trajectories Linked To Oral Microbiota Composition.
SCI REP-UK,
2018.