Fang Liu, Ph.D.
CV (last updated: Feb 15, 2016)

Huisking Foundation, Inc. Assistant Professor of Statistics
Department of Applied and Computational
Mathematics and Statistics
University of Notre Dame

       
Research
 

My methodological research focuses on the following areas. You may refer to my CV for my publications on these topics.

   
  • Statistical disclosure limitation / data confidentialtiy / differential privacy
  • Bayesian methods and modelling
  • Statistical analysis of missing data
  • Statistical analysis of clustered and correlated data
  • Epidemiological and biostatistical applications
 

I also serve as the statistician on a Gates Foundation funded projects to assess the efficacy of promising malaria control methods. I collaborate with the research teams to optimize the study design and prepare the statistical analysis plan to ensure the efficiency and validity of final data analysis. I am also the Notre Dame liason on the Design and Biostatistics Program in the Indiana Clinical and Translational Sciences Institute to provide investigators centralized access to the biostatistics and bioinformatics programs among the four Indiana Research Universities.

   
 
Teaching
 

I teach the following courses at Notre Dame. The course descriptions can be found here. Students who are registered for my courses can view the course materials in Sakai .

   
  • ACMS 30600 Statistical Methods and Data Analysis
  • ACMS 40852/60852 Advanced Biostatistical Methods
  • ACMS 60885 Applied Bayesian Statistics
   
 
My Students
 
   

  • Bide Xiong (Ph.D. candidate): works on graphical models; 2012 -
  • Claire Bowen (Ph.D.candidate): works on differentially private data sythesis; 2013 -
  • Evercita Eugenio (Ph.D. student): works on differentially private data sythesis; 2014 -
  • Karly Harrod (Ph.D. student; co-advised with Alex Perkins): 2015 - 2016
  • Nathanael Sumaktoyo (Research M.S.; Ph.D. in Political Science), 2016
  • Han Du (Research M.S.; Ph.D. in Quantative Psychology), 2015
  • Patrick Miller (Research M.S.; Ph.D. in Quantative Psychology), 2015
  • Rachel Baird (Research M.S.; Ph.D. in Quantative Psychology), 2015
  • Daniel McArtor (Research M.S.; Ph.D. in Quantative Psychology), 2015
  • Evan Claudeanos (Research M.S.; Ph.D. in Philosophy), 2015
  • Ling Sun (Research M.S.; Ph.D. in Quantative Psychology), 2014
  • Lu Li (Professional M.S.), 2013
  • Nick Troetti (undergraduate researcher), 2015
  • Colleen Pinkleman (undergraduate researcher), 2014
  • Kunchuan Kong (undergraduate researcher), 2013
  • Software & Tools
     

    R package "zoib" for Bayesian Inference of zero-one inflated beta regression

       
     

    R package "gset" for group sequential designs of equivalence studies

       
     

    The balm function to implement the BALM procedure ("A Bayesian “fill in” method for correcting for publication bias in meta-analysis" by Du, Liu, and Wang (2015))

     
     

    Construction of ROC and Calculatio of AUC (as referenced in "Controversies and Conundrums in Hydrogen Sulfide Biology" by Olsen, DeLeon, and Liu; Nitric Oxide (2014) doi: 10.1016/j.niox.2014.05.012.)

     
     

    Supplemental materials to "Model-based Differential Private Data Synthesis" by Liu (2017), arxiv:1606.08052

    Office: 173B Hurley

    Email: fang.liu.131@nd.edu

    Office phone: 574-631-0895