Liu's Trustworthy and Ethical

Statistical Learning Lab

(TESLLa)




GROUP NEWS

03/2024 Congratulations to Xingyuan Zhao on successfully defending her doctoral dissertation and graduation from ND in May 2024!

01/2024 Congratulations to Tian Yan on successfully defending her doctoral dissertation. All the best for your future, Dr. Yan!

05/2023 Congratulations to Bingyue Su and Yu Wang on successfully defending their doctoral dissertations. All the best for your future, Dr. Su and Dr. Wang!

02/2023: Congratulations to Ruyu Zhou on advancing to Ph.D. candidacy!

News Archive    
RESEARCH: Our research focuses on the following areas
   
  • Differential privacy
  • Trustworthy statistical learning and machine learning (eg. privacy, fairness, uncertainty quantification, etc.)
  • Synthetic data and generative models
  • Probabilistic machine learning and Bayesian methods and modeling
  • Statistical analysis of missing data
  • Epidemiological, biostatistical, and social science applications
with the joint efforts from a group of hard-working people:
   


PI Fang Liu, Ph.D., Professor & Associate Chair
Prof Liu joined Notre Dame and the ACMS in the fall of 2011. Her publications can be viewed at Google Scholar. Prof Liu's works is/was supported by

Current lab members
  • 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 ~
  • Gina Mannino (Ph.D. student in ACMS): 2024 ~
  • Xiaoan (Shawn) Lang (Ph.D. student in ACMS) 2024 ~

    • Lab alumni (1st job upon graduation)
  • Xingyuan Zhao , Ph.D. in ACMS, 2024 (Wells Fargo)
  • 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)

    		•
    TEACHING: Prof. Liu teaches the following courses at Notre Dame.
         
    • 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

    Office: 201B Crowley

    Email: fang DOT liu DOT 131 AT nd DOT edu

    Office phone: 574-631-0895