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Andrew McDavid, PhD

Andrew McDavidAssistant Professor
Ph.D. (2016) University of Washington

Contact Information

University of Rochester
Dept of Biostatistics and Computational Biology
265 Crittenden Boulevard, CU 420630 
Rochester, New York 14642-0630
 
Office: Saunders Research Building 4206
Phone: (585) 275-5983
Fax: (585) 273-1031
E-mail: Andrew_McDavid@urmc.rochester.edu

Andrew McDavid's Personal Website

Research Interests

I am interested in methods and applications of single cell gene expression assays. There is great hope, for good reason, that measuring expression profiles in single cells will aid in immunological and cancer research, and provide new insight in cellular biology (though it still only provides a cross-sectional sample of cells at various points in their lifespan and cell cycle.) However, the biochemical, computational and statistical challenges are sizable.

I am focusing on the combinations of all three. Through the use of unique molecular identifiers, it may be possible to better understand the biases and sources of variability current protocols introduce. I am writing R software packages to allow easier manipulation of single-cell data sets (which are sometimes almost as "tall" as they are "wide"). I am developing statistical methods that accommodate the bimodality of single cell data, which yield more sensitive and better calibrated tests.

Statistical questions I am currently interested in include:

  • Graphical modeling and gene-gene interaction networks
  • Clustering and distance measures for zero-inflated data
  • Gene-enrichment analysis
  • Regularizing vector generalized linear models through empirical Bayes' procedures
  • 2nd-order univariate phenomena, such as exceptional stability or heterogeneity of expression (and how this can be identified given differing levels of technical variability).

Selected Publications

  • McDavid, A., Finak, G., and Gottardo, R. (2016). "The contribution of cell cycle to heterogeneity in single-cell RNA-seq data." Nature Biotechnology 34(6): 591-593.
  • Conway, A. B., McDavid, A., Emert, J. M., Kudenchuk, P. J., Stubbs, B. A., Rea, T. D., Yin, L, Olsufka, M., McCoy, A. M., and Sayre, M. R. (2016). "Impact of Building Height and Volume on Cardiac Arrest Response Time." Prehospital Emergency Care 20(2): 212-219.
  • Slichter, C. K., McDavid, A., Miller, H. W., Finak, G., Seymour, B. J., McNevin, J. P., Diaz, G., Czartoski, J. L., McElrath, M. J., and Gottardo, R. (2016). "Distinct activation thresholds of human conventional and innate-like memory T cells." JCI Insight 1(8).
  • Finak, G., McDavid, A., Yajima, M., Deng, J., Gersuk, V., Shalek, A. K., Slichter, C. K., Miller, H. W., McElrath, M. J., and Prlic, M. (2015). "MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data." Genome Biology 16(1):1.
  • McDavid, A., Dennis, L., Danaher, P., Finak, G., Krouse, M., Wang, A., Webster, P., Beechem, J., and Gottardo, R. (2014). "Modeling bi-modality improves characterization of cell cycle on gene expression in single cells." PLoS Comput Biol 10(7): e1003696.
  • McDavid, A., Crane, P. K., Newton, K. M., Crosslin, D. R., McCormick, W., Weston, N., Ehrlich, K., Hart, E., Harrison, R., and Kukull, W. A. (2013). "Enhancing the power of genetic association studies through the use of silver standard cases derived from electronic medical records." PLoS ONE 8(6): e63481.
  • McDavid, A., Finak, G., Chattopadyay, P. K., Dominguez, M., Lamoreaux, L., Ma, S. S., Roederer, M., and Gottardo, R. (2013). "Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments." Bioinformatics 29(4): 461-467.
  • Schick, U. M., McDavid, A., Crane, P. K., Weston, N., Ehrlich, K., Newton, K. M., Wallace, R., Bookman, E., Harrison, T., and Aragaki, A. (2013). "Confirmation of the reported association of clonal chromosomal mosaicism with an increased risk of incident hematologic cancer." PLoS ONE 8(3): e59823.
  • Finak, G., McDavid, A., Chattopadhyay, P., Dominguez, M., De Rosa, S., Roederer, M., and Gottardo, R. (2013). "Mixture models for single-cell assays with applications to vaccine studies." Biostatistics: kxt024.
  • Crosslin D. R., McDavid, A., Weston, N., Nelson, S. C., Zheng, X., Hart, E., De Andrade, M., Kullo, I. J., McCarty, C. A., and Doheny, K. F. (2012). "Genetic variants associated with the white blood cell count in 13,923 subjects in the eMERGE Network." Human Genetics 131(4): 639-652.