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.

05/25/2017: Ashley Ahimbisibwe has been awarded full merit-based scholarships for the 2017–2018 academic year through the Clare Boothe Luce Program.  Congratulations! Ashley.

05/2017: Claire Bowen won the Calire Grace Hopper Celebration of Women in Computing Student Scholarship to attend the GHC Women in Computing conference in Oct 2017.  Congratulations! Claire.

News Archive     
RESEARCH: Our research focuses on the following areas
  • Data confidentialtiy and differential privacy
  • Statistical learning in big data
  • Bayesian methods and modelling
  • Statistical analysis of missing data
  • Statistical analysis of clustered and correlated 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 prvivacy, 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 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 several Indiana research universities (ND, Purdue, IUPUI, IU-Bloomington). Prof Liu's works is/was supported by

Current members
  • Bide Xiong (Ph.D. candidate)  : works on Gaussian graphical models; 2011 -
  • Claire Bowen (Ph.D.candidate)   : works on differentially private data sythesis; 2013 ~
  • Evercita Eugenio (Ph.D. candidate)  : works on differentially private data sythesis; 2014 ~
  • Yinan Li (Ph.D. candidate) : works on statistical learning and model regularization via noise injection; 2016 ~
  • Gaofei Zhang (Ph.D. student) : works on TBD; 2017 ~
  • Xin Mu (Research M.S. in Statistics; Ph.D. in Aerospace and Mechanical Engineering), 2017
  • 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
  • Qimin Liu (Research M.S. in Statistics; Ph.D. in Quantative Psychology), 2017
  • Ashley Ahimbisibwe (undergraduate researcher), 2016 ~ present
  • Rachael Quest (undergraduate researcher), 2017

  • Alumni (with the 1st job upon graduation)
  • 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
  • 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 Noninformative Bounding" 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 (2016)


    Supplemental materials to "Assessment of Bayesian Expected Power via Bayesian Bootstrap" by Liu (2017)

    Office: 173B Hurley


    Office phone: 574-631-0895