Session Organizer: Statistical Design of Experiments, special session at the International Conference on Monte Carlo Methods and Applications (MCM), Chicago, IL, July 2025.
Session Organizer and Chair: Design and Analysis of Experiments in Emerging Areas, invited session at Joint Statistical Meetings, Toronto, Canada, August 2023.
Session Organizer and Chair: Big Data Science: Classical Origins and New Frontiers, INFORMS Annual Meeting, Seattle, WA, October 2019.
Session Organizer and Chair: Statistical design for controlled experiments in the big data era, INFORMS Annual Meeting, Seattle, WA, October 2019.
Session Organizer and Chair: Combining Statistical Design with Learning, IMS/ASA Spring Research Conference, Virginia Tech, VA, May 2019.
Session Chair: Optimal Design, WuFest, Atlanta, GA, May 2019.
Session Organizer at Conference on Experimental Design and Analysis (CEDA), Hsinchu, Taiwan, December 2018.
Session Organizer and Chair: Lead with Statistics in Uncertainty Quantification, Joint Statistical Meeting, Vancouver, Canada, July 29-August 02, 2018.
Session Organizer and Chair: Design and Analysis of Experiments with Heterogeneous and Functional Responses, INFORMS Annual Meeting, Houston, TX, October 2017.
Tutorial on Bayesian Optimization at the What is... Graduate Seminar (TWIGS), Department of Mathematics and Statistics, UMASS Amherst, Sep 27 and Nov 1, 2024.
Department of Mathematics and Statistics, UMASS Amherst, Oct 24, 2024.
Department of Statistics, Virginia Tech, Oct 26, 2023.
School of Mathematics and Statistics, Clemson University, Dec 12, 2023.
Department of Statistics and Operations Research, University of North Carolina--Chapel Hill, Feb 16, 2023.
Department of Statistics and Probability, Michigan State University, Feb 02, 2023.
Department of Mathematics, Purdue University, Jan 26, 2023.
Data Science Seminar at the Rush University, Chicago, Jan 09, 2023.
Department of Industrial Engineering, University of Pittsburgh, Dec 13, 2022.
Department of Mathematics and Statistics, University of Massachusetts--Amherst, Dec 06, 2022.
Colloquium in Computational and Applied Mathematics at the University of Chicago, May 05 2022.
Alumni University lecture series of Illinois Institute of Technology, April 21, 2022.
Department of Mathematics and Statistics, University of North Carolina at Greensboro. Feb 2022.
Southampton Statistical Sciences Research Institute (S3RI) of the University of Southampton, UK. Nov 2022.
Baruch College Information Systems and Statistics Seminars of City University of New York. Oct 2021.
PyData Chicago MeetUp Group, April 2021.
Chinese Academy of Sciences, Beijing, China, June 2019.
Mathematics and Computer Science Division of Argonne National Laboratory, December 2018.
Nanjing Audit University, China, June 2018.
College of Mathematics, Soochow University, China, June 2018.
Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago, IL, Feb 2018.
Department of Mathematics, Tulane University, New Orleans, LA, Dec 2017.
Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, VA, November 2017.
Panelist of “Navigating Paths to Tenure and Pitfalls Along The Way”’ Panel. 2024 Women in Statistics and Data Science Conference, Reston, VA, Oct, 2024.
Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input. 2025 Summer Research Conference by Southern Regional Council on Statistics, Clemson University, Clemson, SC, June, 2024.
Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input. The 37th New England Statistics Symposium (NESS), University of Connecticut, Storrs, CT, May, 2024.
Kernel Discrepancy-Based Rerandomization for Controlled Experiments. Design and Analysis of Experiments, The DAE Conference Series in North America, Virginia Tech, Blacksburg, VA, May, 2024.
Energetic Variational Gaussian Process Regression for Computer Experiments. 2023 INFORMS Annual Meeting. Phoenix, AZ. Oct, 2023.
Dimension Reduction for Gaussian Process Model via Convex Combination of Kernels. The 6th International Conference on Econometrics and Statistics (EcoSta 2023). Waseda University, Tokyo, Japan. August, 2023.
Kernel Discrepancy-Based Rerandomization for Controlled Experiments. INFORMS Conference on Quality, Statistics, and Reliability (ICQSR) 2023. NC State University at Raleigh, North Carolina. June, 2023.
Kernel Discrepancy-Based Rerandomization for Controlled Experiments. ASA/IMS Spring Research Conference. Banff Centre, Canada. May 2023.
Locally Optimal Design for A/B Tests in the Presence of Covariates and Network Dependence. 15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2022). London, UK. December 2022.
Dimension Reduction for Gaussian Process Model via Convex Combination of Kernels. International Conference on Advances in Interdisciplinary Statistics and Combinatorics, UNC at Greensboro. October 2022.
Dimension Reduction for Gaussian Process Model via Convex Combination of Kernels. Joint Statistical Meeting. Washington D.C. August, 2022.
Dimension Reduction for Gaussian Process Model via Convex Combination of Kernels. Data Science, Statistics \& Visualization (DSSV). National Cheng Kung University, Tainan, Taiwan. June, 2022.
Gaussian Process Model Assisted Active Learning of Physical Laws. Quality & Productivity Research Conference. San Francisco State University, CA. June, 2022.
Plenary Talk: Fair and Diverse Allocation of Scarce Resources. Chicago Area SIAM Student Conference. Chicago, IL. April 24, 2022.
Gaussian Process Model Assisted Active Learning of Physical Laws. SIAM Conference on Uncertainty Quantification. Atlanta, GA. April 2022.
A Maximin Φp-Efficient Design for Multivariate Generalized Linear Models. 2021 Design and Analysis of Experiments (DAE) Conference Series, Virtual, Oct 2021.
Recent Advances in DoE Driven by New Applications and New Algorithms. 2021 ICSA Applied Statistics Symposium, Virtual, Sep 2021.
Gaussian Process Model Assisted Active Learning of Physical Laws. 2019 INFORMS Annual Meeting, Seattle, WA, Oct 2019.
Design For Controlled Experiments For Social Networks With Covariates. 2019 INFORMS Annual Meeting, Seattle, WA, Oct 2019.
Discrepancy-Based Design for A/B Testing Experiments. 2019 ICSA China Conference, Tianjin, China, July 2019.
Dimension Reduction for Gaussian Process Model via Convex Combination of Kernels. IMS/ASA Spring Research Conference, Virginia Tech, VA, May 2019.
Gaussian Process Model Assisted Additive Learning of Physical Laws. SAMSI Joint MUMS Program Transition-SPUQ Workshop, Chapel Hill, NC, May 2019.
Dimension Reduction for Gaussian Process Model via Convex Combination of Kernels. SAMSI QMC Transition Workshop, Research Triangle Park, NC, May 2018.
Leverages of Gaussian Process Model and Sequential Sampling. SIAM Conference on Uncertainty Quantification (UQ 18), Garden Grove, CA, April 2018.
Bayesian A-optimal Design for Quantitative and Qualitative Responses. Joint Statistical Meeting, Baltimore, August 2017.
A General Construction for Space-filling Latin Hypercubes. ICSA Applied Statistics Symposium, Chicago, June 2017.