05/15/2018: Congratulations to Claire Bowen on successfully defending her dissertation on 03/27/2018 and being awarded a Ph.D. Degree in ACMS on 05/19/2018! She will be working as a post-doctoral researcher at the Los Alamos National Lab in New Mexico. All the best, Claire!

11/8/2017: Congratulations to Yinan Li on advancing to Ph.D candidancy! Congratulations! Yinan.

10/31/2017: Gaofei Zhang joined Liu's research group as a doctoral student. Gaofei has a BS in Mathematics from Nankai University in China and a MS in statistics from Uconn. Welcome! Gaofei.

News Archive     
RESEARCH: Our research focuses on the following areas
  • Data privacy and differential privacy
  • Statistical learning in big data and complex model regularization
  • Bayesian methods and modelling
  • Statistical analysis of missing data
  • Epidemiological and biostatistical applications
with the joint efforts from a group of hard-working people:

PI Fang Liu, Ph.D.
Associate Professor & Director of Graduate Studies
Prof Liu joined Notre Dame and the ACMS in the fall of 2011 as an assistant professor. Her statistical methodological work focuses on data privacy, Bayesian methods and modelling, and statistical learning in big data (refer to  for her publications). In addition, she serves as the lead statistician on a Gates Foundation funded project to assess the efficacy of promising malaria control methods, and the Notre Dame liaison 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 several Indiana research universities (ND, Purdue, IUPUI, IU-Bloomington). Prof Liu's works is/was supported by

Current members
  • Bide Xiong (Ph.D. candidate in ACMS)  : works on graphical models; 2011 -
  • Evercita Eugenio (Ph.D. candidate in ACMS)  : works on differentially private data synthesis; 2014 ~
  • Yinan Li (Ph.D. candidate in ACMS) : works on statistical learning and model regularization via noise injection; 2016 ~
  • Gaofei Zhang (Ph.D. student in ACMS) : works on TBD; 2017 ~
  • Yushan Zhang (Research M.S. in Statistics; Ph.D. in Chemical Engineering), 2018
  • Xiao Liu (Research M.S. in Statistics; Ph.D. in Quantitative Psychology), 2018

  • Alumni (with the 1st job upon graduation)
  • Claire Bowen (Ph.D. in ACMS; 2018)   (Post-doctoral Researcher at Los Alamos National Lab) :
  • Xin Mu (Research M.S. in Statistics; Ph.D. in AME), 2017 (Sr Analyst at BMO Harris Bank)
  • JiXin Si (Research M.S. in Statistics; Ph.D. in Physics), 2017
  • Richard GibbonPrice (Research M.S. in Statistics; Ph.D. in Political Science), 2017
  • Nathanael Sumaktoyo (Research M.S. in Statistics; Ph.D. in Political Science), 2016
  • Han Du (Research M.S. in Statistics; Ph.D. in QuantPsy), 2015 (assis. prof. in QuantPsy at UCLA)
  • Rachel Baird (Research M.S. in Statistics; Ph.D. in QuantPsy), 2015 (statistician at UPMC)
  • Daniel McArtor (Research M.S. in Statistics; Ph.D. in QuantPsy), 2015 (data scientist at Google)
  • Patrick Miller (Research M.S. in Statistics; Ph.D. in QuantPsy), 2015
  • Evan Claudeanos (Research M.S. in Statistics; Ph.D. in Philosophy), 2015
  • Ling Sun (Research M.S. in Statistics; Ph.D. in Bioengineering), 2014 (data scientist at ND)
  • Lu Li (Professional M.S. in Applied Statistics), 2013
  • Ashley Ahimbisibwe (undergraduate researcher), 2016 ~ 2017
  • Rachael Quest (undergraduate researcher), 2017
  • YiKun Qian (undergraduate researcher), 2017
  • Zhaoyu Cai (undergraduate researcher), 2016
  • Yilan He (undergraduate researcher), 2016
  • Bojia Qiu (undergraduate researcher), 2016
  • Nick Troetti (undergraduate researcher), 2015 (senior actuarial assistant at AIG)
  • Colleen Pinkleman (undergraduate researcher), 2014 (business analyst at Amazon)
  • Yunchuan Kong (undergraduate researcher), 2013 (doctoral biostatistics student at Emory)
  • TEACHING: Prof. Liu teaches the following courses at Notre Dame. The course descriptions can be found here . Students who are registered for the courses can view the course materials on Sakai .
    • ACMS 30600 Statistical Methods and Data Analysis
    • ACMS 40852/60852 Advanced Biostatistical Methods
    • ACMS 60786 (60784/60785): Applied Regression Models (I/II)
    • ACMS 60885 Applied Bayesian Statistics
    Software & Tools

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


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


    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 Differentially Private Data Synthesis" by Liu (2016), arxiv:1606.08052


    Supplemental materials to "Statistical Properties of Sanitized Results from Differentially Private Laplace Mechanisms with Bounding Constraints" by Liu (2016), arxiv:1607.08554v2


    Supplemental materials to "A Bayesian “fill in” method for correcting for publication bias in meta-analysis" by Du, Liu, and Wang (2017), Psychological Methods, 22(4):799-817. doi: 10.1037/met0000164


    Supplemental materials to "Assessment of Bayesian Expected Power via Bayesian Bootstrap" by Liu (2018), Statistics in Medicine, To appear

    Office: 173B Hurley


    Office phone: 574-631-0895