Lulu Kang

Office: LGRT RM 1436 710 N. Pleasant Street

Amherst, MA 01003-9305

Phone: +1 413-545-9212

About Me

Welcome to my website! I'm an Associate Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst.

My research pursuits revolve around the creation of novel theories and methodologies in fields such as Statistical Learning/Machine Learning, Statistical Design of Experiments, Uncertainty Quantification, Bayesian Statistical Modeling, Approximate Inference, and Optimization. I've dedicated myself to interdisciplinary research, where the transformative power of data science intersects with realms as diverse as mechanical engineering, manufacturing, chemistry, material sciences, healthcare, and social sciences. I invite you to explore the comprehensive details available on the Research and Publications pages. On the educational front, I have had the privilege of crafting and delivering a range of enlightening courses on statistics at my previous institute, which are outlined on the Teaching page.

Thank you for visiting my website – I look forward to sharing knowledge, exploring innovative ideas, and making meaningful contributions to the worlds of data science and mathematics.

Recent News

In August 2025, I received an Outstanding Service Award from the ASA Section on Physical and Engineering Sciences.
In May 2024, my collaborators, Dr. Anna Green from CICS (PI) and Dr. Jianhan Chen from Chemistry (Co-PI), and I (Co-PI) just received the Interdisciplinary Research Grant of UMass Amherst. We are going to work on forecasting antibiotic resistance using biophysics and machine learning.

Education

Ph.D. in Industrial Engineering and M.S. in Operations Research from H. Milton Stewart School of Industrial and System Engineering at the Georgia Institute of Technology.
B.S. in Mathematics from Nanjing University, Nanjing, China.

Academic Appointments

University of Massachusetts Amherst

Associate Professor, 2023--Present

Illinois Institute of Technology

Associate Professor, 2016--2023

Assistant Professor, 2010-2016

Associate Director of Master of Data Science program, 2013--2021.

Awards

Outstanding Service Award from the ASA Section on Physical and Engineering Sciences, 2025.
Statistical Partnerships Among Academe, Industry, and Government (SPAIG) Award, by American Statistical Association, 2020. Official Announcement.
Early Career Scholarship, ASA/IMS Spring Research Conference on Statistics in Industry and Technology, 2015.
Project NExT Fellow, Mathematical Association of America (MAA), 2012.
Best Student Paper Award, Quality, Statistics, and Reliability (QSR) Section of Institute for Operations Research and the Management Sciences (INFORMS), San Diego, 2009.
Kiplinger Fellowship, Georgia Institute of Technology, 2005.

Professional Activities

Lead of the Organizing Committee for the Uncertainty Quantification and AI for Complex Systems long program hosted by Institute for Mathematical and Statistical Innovation in Spring 2025.
Associate Editor, SIAM/ASA Journal on Uncertainty Quantification, 01/01/2019--present.
Associate Editor, Technometrics, 10/01/2019--present.
Committee Chair for the 2022 Best Student Paper Competition of the Quality, Statistics, and Reliability Section of INFORMS.
Chair and Chair-Elect of Section on Physical and Engineering Sciences of the American Statistical Association, 2021-2022.
Council Member of the Quality, Reliability, and Statistics (QSR) Section of INFORMS, 2018/11-2020/11.
Volume Co-Editor of INFORMS Editor’s Cut volume on “Harnessing Value Through Streaming Data Analytics”.

To Students

I am looking for undergraduate and graduate students to work on exciting research projects on data science. If you are interested in topics such as statistical/machine learning, uncertainty quantification, design and analysis of experiments, applications of data science, etc, please feel free to contact me.