Huang, Hanwen, PhD

Associate Professor

PhD (Statistics), University of North Carolina at Chapel Hill, Chapel Hil, 2011


(706) 721-2947
room number AE-1012


It is well known that modern statistical problems are increasingly high dimensional, i.e. the number of parameters is large. Analyses of high dimensional data raise many methodological issues not present, or not as important, in lower dimensional settings. Much of my research focuses on developing statistical machine learning methods to analyze high dimensional data. I am also interested in developing computationally efficient statistical methods to solve dynamical models in infectious disease study. I have developed efficient Bayesian frameworks to estimate parameters in ordinary differential equations and novel computational approaches to pinpoint predisposed recombination regions in HIV.  Moreover, I have been seeking every opportunity to collaborate with scientists from a wide variety of fields on using statistical methods to solve real problem.



  • Introductory Biostatistics I
  • Introductory Biostatistics II
  • Linear and Generalized Linear Models
  • Advanced Biostatistical Inference
  • Statistical Machine Learning


  • Anqi Pan, Xiao Song, Hanwen Huang, ``Bayesian analysis for partly linear Cox model with measurement error and time-varying covariate effect", Statistics in Medicine, 41, 4666–4681, 2022
  • Hanwen Huang, ``LASSO risk and phase transition under dependence", Electronic Journal of Statistics, 16, 6512-6552, 2022
  • Hanwen Huang, ``Bayesian multilevel mixed-effects model for influenza dynamics", Journal of the Royal Statistical Society: Series C, 71, 1978-1995, 2022
  • Nadim Sharif, Rubayet Rayhan Opu, Afsana Khan, Khalid J Alzahrani, Hamsa Jameel Banjer, Fuad M Alzahrani, Nusaira Haque, Shahriar Khan, Saimum Tahreef Soumik, Ming Zhang, Hanwen Huang, Xiao Song, Anowar Khasru Parvez, Shuvra Kanti Dey, ``The effect of supplementation with vitamins C, D and zinc on infection and disease severity among patients with COVID-19 in Bangladesh: a cross sectional study", Nutrients, Volume 14, Issue 23, 5029, 2022
  • Hanwen Huang, Qinglong Yang, ``Large dimensional analysis of general margin-based classification methods", Journal of Statistical Mechanics: Theory and Experiment, 113401, 
  • Yongjie Ma, Xiaohan Zhang, Omar Awad Alsaidan, Xiangkun Yang, Essilvo Sulejmani, Junyi Zha, Zanna Beharry, Hanwen Huang, Michael Bartlett, Zachary Lewis and Houjian Cai, ``Long-chain fatty acyl-CoA synthetase 1 promotes prostate cancer progression by elevation of lipogenesis and fatty acid beta-oxidation", Oncogene, 40(10), 1806-1820, 2021
  • Yongjie Ma, Xiaohan Zhang, Omar Awad Alsaidan, Xiangkun Yang, Essilvo Sulejmani, Junyi Zha, Zanna Beharry, Hanwen Huang, Michael Bartlett, Zachary Lewis and Houjian Cai, ``Long-Chain Acyl-CoA Synthetase 4–Mediated Fatty Acid Metabolism Sustains Androgen Receptor Pathway–Independent Prostate Cancer", American Association for Cancer Research, 19, 124–35, 2021
  • Hanwen Huang, ``Asymptotic risk and phase transition of $L_1$-penalized robust estimator", Annals of Statistics, 48, 3090-3111,
  • Hanwen Huang, Andreas Handel, Xiao Song, ``A Bayesian approach to estimate parameters of ordinary differential equation'', Computational Statistics, 35, 1481-1499, 2020
  • Aiying Xie, Hanwen Huang, Fanbin Kong, ``Relationship between food composition and its cold/hot properties: A statistical study", Journal of Agriculture and Food Research, 2, 100043, 2020