Skip to main content

Coronavirus (COVID-19) Updates: Visitation Policies (New! 11.25.20) | How We're Keeping You Safe | Latest COVID Information

Coronavirus (COVID-19): Visitor Restrictions, Resources, and Updates

Explore URMC
menu

Matthew N. McCall, Ph.D., M.H.S.

Contact Information

Research Labs

Faculty Appointments

Biography

My research interests are in statistical genomics and systems biology. Currently, I am focusing on developing methods to estimate gene regulatory networks from gene pertubation experiments, using microRNA signatures to predict recurrence of hepatocellular carcinoma after liver transplantation, and examining the effect of cellular composition on tissue-level gene expression.

I received a Ph.D. in Biostatistics from The Johns Hopkins University under the supervision of Rafael Irizarry. My thesis work focused on developing statistical methodology for preprocessing and analysis of data from a single microarray.

Professional Background

In 2010, I received a PhD in Biostatistics and an MHS in Bioinformatics from the Johns Hopkins School of Public Health under the supervision of Dr. Rafael Irizarry. From 2010 to 2014, I worked as a Postdoctoral Fellow at the University of Rochester Medical Center under the mentorship of Drs. Anthony Almudevar and Hartmut Land. In the fall of 2014, I accepted a position as an Assistant Professor in the Department of Biostatistics and Computational Biology with a joint appointment in the Department of Biomedical Genetics at the University of Rochester Medical Center.

Research

My research interests are in statistical genomics, systems biology, and bioinformatics. Currently, I am focusing on: (1) developing methods to estimate gene regulatory networks involved in cancer from perturbation experiments, (2) examining the effect of cellular composition on tissue-level gene expression, (3) tackling within-subject genomic heterogeneity, focusing on predicting recurrence of hepatocellular carcinoma after liver transplantation, and (4) developing methods for preprocessing and analysis of genomic data.

Credentials

Education

2004
BS | University of Michigan
Statistics

2010
PhD | Johns Hopkins Bloomberg School of Public Health
Biostatistics

2010
MHS | Johns Hopkins Bloomberg School of Public Health
Bioinformatics

Publications

Journal Articles

11/30/2020
Fomchenko KM, Walsh EM, Yang X, Verma RX, Lin BL, Nieuwenhuis TO, Patil AH, Fox-Talbot K, McCall MN, Kass DA, Rosenberg AZ, Halushka MK. "Spatial Proteomic Approach to Characterize Skeletal Muscle Myofibers." Journal of proteome research.. 2020 Nov 30; Epub 2020 Nov 30.

11/27/2020
Hsu B, Sherina V, McCall MN. "Auto-regressive modeling and diagnostics for qPCR amplification." Bioinformatics.. 2020 Nov 27; Epub 2020 Nov 27.

11/26/2020
Sherina V, McMurray HR, Powers W, Land H, Love TMT, McCall MN. "Multiple imputation and direct estimation for qPCR data with non-detects." BMC bioinformatics.. 2020 Nov 26; 21(1):545. Epub 2020 Nov 26.

VIEW ALL PUBLICATIONS