Eric Lock, PhD

I develop methods for the analysis of multi-faceted high-dimensional data. These methods are usually motivated by applications in molecular biology, especially in "omics" fields such as genomics, metabolomics, and proteomics. My focus is in the integrated analysis of data that are from multiple sources (e.g., gene expression, metabolomics, imaging) or measured in multiple dimensions (e.g., multiple tissue types or body regions), which are often necessary to capture every facet of a complex biological system. I also have in interest in exploratory factorization and clustering methods, and Bayesian nonparametric inference.

• 2015–2018, NIH, "Biomarkers for Multi-Source, Multi-Way Data," Principal Investigator
• 2016–2021, NIH, "Evaluating Natural Experiments in Healthcare to Improve Diabetes Prevention and Treatment," Co-Investigator

See a full list of my publications on Google Scholar

Select Recent Publications

• Lyu T, Lock EF, Eberly LE. "Discriminating sample groups with multi-way data," Biostatistics, Jan 2017
• Lock EF, Dunson DB. "Bayesian genome- and epigenome-wide association studies with gene level dependence," Biometrics, Jan 2017
• O'Connell MJ, Lock EF. "R.JIVE for exploration of multi-source molecular data," Bioinformatics, June 2016

Books and Book Chapters

• EF Lock and AB Nobel. Exploratory methods to integrate multisource data. In GC Tseng, D Ghosh & XJ Zhou (Eds), Integrating Omics Data, pp. 242-268. Cambridge University Press, Cambridge, UK. 2015.
• RH Lock, PF Lock, KL Morgan, EF Lock, and DF Lock. Statistics: Unlocking the Power of Data. John Wiley & Sons, Hoboken, NJ, 2012.