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PI Fang Liu, Ph.D.
Professor & Director of Graduate Studies
Prof Liu joined Notre Dame and the ACMS in the fall of 2011. Her statistical methodological work focuses on data privacy, Bayesian methods and modelling, and statistical learning and machine learning (refer to
Google Scholar for her publications). Dr. Liu is funded by multiple NSF grants on differential privacy theory, methods, and application research. In addition, she serves as the lead statistician on a Gates Foundation funded project (Click
here for an introduction of the research program) and a UNITAID-funded project (Click here for the Press Release) 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
Xingyuan Zhao (Ph.D. candidate in ACMS): working on differential privacy; 2019 ~
Tian Yan (Ph.D. candidate in ACMS): working on machine learning applications; 2019 ~
Spencer Giddes (Ph.D. candidate in ACMS): working on differential privacy; 2020 ~
Ruyu Zhou (Ph.D. candidate in ACMS): working on differential privacy; 2021 ~
Alumni (with the 1st job upon graduation)
Yu Wang , Ph.D. in ACMS, 2023 (Epsilon)
Bingyue Su , Ph.D. in ACMS, 2023 (Wells Fargo)
Dong Wang (Visiting Ph.D. student in Computer Science at Wuhan University) 2021 (Assistant Professor, Hangzhou Dianzi Univ)
Yinan Li , Ph.D. in ACMS, 2020 (JP Morgan Chase & Co.)
Evercita Eugenio , Ph.D. in ACMS, 2019 (Sandia National Lab)
Claire Bowen , Ph.D. in ACMS, 2018 (Los Alamos National Lab)
Bide Xiong (Ph.D. candidate in ACMS), 2019
Xiao Liu (Research M.S. in Statistics; Ph.D. in Quantitative Psychology), 2020 (Assistant Professor, UT Austin)
Bao Khanh Cu (Professional M.S. student), 2020
Qimin Liu (Research M.S. in Statistics; Ph.D. in Quantitative Psychology), 2019 (Vanderbilt)
Brenna Gomer (Research M.S. in Statistics; Ph.D. in Quantitative Psychology), 2019
Yushan Zhang (Research M.S. in Statistics; Ph.D. in Chemical Engineering), 2019 (McKinsey)
Kaiwei Chen (Research M.S. in Statistics; Ph.D. in Electrical Engineering), 2019 (Microsoft)
Xin Mu (Research M.S. in Statistics; Ph.D. in AME), 2017 (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 (Assistant Professor, UCLA)
Rachel Baird (Research M.S. in Statistics; Ph.D. in QuantPsy), 2015 (UPMC)
Daniel McArtor (Research M.S. in Statistics; Ph.D. in QuantPsy), 2015 (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 (ND)
Lu Li (Professional M.S. in Applied Statistics), 2013
Rui Guan (undergraduate Researcher) summer, 2021
Jocob Chang (undergraduate researcher, 2021
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)
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