Yang Shi, PhD

Assistant Professoryshipic
Dept. of Population Health Science
Dept. of Neuroscience & Regenerative Medicine

Email:    yshi@augusta.edu 
Office:   CA2003
Phone:  706-721-5712

Education:

2013 – 2016 Ph.D. in Biostatistics, University of Michigan, Ann Arbor, MI

2011 – 2013 M.S. in Biostatistics, University of Michigan, Ann Arbor, MI

2005 – 2009 B.S. in Biological Science, Peking University, China

Training:

2010 – 2011 Research Trainee, Dept. of Neuroscience, Johns Hopkins University School of Medicine, MD

Research Interests:

Statistical Methodologies: Monte Carlo Methods and Simulations, Resampling Methods, Mixed-effects Models, Generalized Linear Models, Statistical Computing and Numerical Methods.

Application areas: Genomics, Bioinformatics, Neuroscience

My research includes two directions: 1). Methodological research in biostatistics and bioinformatics; and 2). Collaborative research in biomedical science. My research interests are developing statistical methodologies and computational techniques for the mining and analysis of large-scale genomic data, focusing on the improvement of the computational efficiency of resampling-based testing methods in genomic data analysis and the application of multilevel models for the study of complex genomic data. I have a broad range of interests in applying statistical methodologies and bioinformatics tools to scientific questions in biomedical science and public health, particularly neurological and psychiatric disorders.

Selected Publications:

(Methodological research)

  1. Yang Shi, Mengqiao Wang, Weiping Shi, Ji-Hyun Lee, Huining Kang, Hui Jiang (2019). Accurate and efficient estimation of small p-values with the cross-entropy method: applications in genomic data analysis. Bioinformatics, 35 (14): 2441-2448.
  2. Yang Shi and Ji-Hyun Lee (2018). Sample size calculations for group randomized trials with unequal group sizes through Monte Carlo simulations. Statistical Methods in Medical Research, 27 (9): 2569-2580
  3. Dali Ding, Weiping Shi, Yang Shi (2018). Numerical simulation of embryo transfer: how the viscosity of transferred medium affects the transport of embryos. Theoretical Biology and Medical Modelling, 15 (1): 20.
  4. Yang Shi, Arul M Chinnaiyan, Hui Jiang (2015). rSeqNP: A non-parametric approach for detecting differential expression and splicing from RNA-Seq data. Bioinformatics, 31 (13): 2222-2224.

(Collaborative research)

  1. Kang Wang, Yang Shi, Zhu-Yue Li, Ye-Lei Xiao, Jie Li, Xiang Zhang, Hong-Yuan Li (2019). Metastatic Pattern Discriminates Survival Benefit of Primary Surgery for De Novo Stage IV Breast Cancer: A Real-World Observational Study. European Journal of Surgical Oncology, 45(8):1364-1372.
  2. Irene Orlow, Yang Shi, Peter A Kanetsky, Nancy Thomas, Li Luo, Sergio Corrales-Guerrero, Anne E Cust, Lidia Sacchetto, Roberto Zanetti, Stefano Rosso, Bruce K Armstrong, Terence Dwyer, Alison Venn, Richard P Gallagher, Stephen B Gruber, Loraine D Marrett, Hoda Anton-Culver, Klaus Busam, Colin B Begg, Marianne Berwick (2018). The interaction between vitamin D receptor polymorphisms and sun exposure around time of diagnosis influences melanoma survival. Pigment Cell & Melanoma Research, 31 (2): 287-296.
  3. Mei-Fang Xiao, Desheng Xu, Michael T Craig, Kenneth A Pelkey, Chun-Che Chien, Yang Shi, Juhong Zhang, Susan Resnick, Olga Pletnikova, David Salmon, James Brewer, Steven Edland, Jerzy Wegiel, Benjamin Tycko, Alena Savonenko, Roger H Reeves, Juan C Troncoso, Chris J McBain, Douglas Galasko, Paul F Worley (2017). NPTX2 and Cognitive Dysfunction in Alzheimer’s disease. eLife, 6: e23798.
  4. Jack Cuzick, Orrin Myers, Ji-Hyun Lee, Yang Shi, Julia C Gage, William C Hunt, Michael Robertson, Cosette M Wheeler (2017). Outcomes in women with cytology showing atypical squamous cells of undetermined significance with vs without human papillomavirus testing. JAMA Oncology, 3 (10): 1327-1334.