News

November 9, 2024: co-organizer of the 25th Annual New England Isolated Statisticians Meeting (NEISM) hosted at the Meehan School of Business, Stonehill College, Easton, MA
November 7, 2024: presenting on “Conformal prediction for timber damage after wildfires” at the Mathematics and Statistics colloquium at Wellesley College, Wellesley, MA
July 9, 2024: presenting on “Design-Based Conformal Prediction for Survey Sampling” at the CANSSI-CRT Workshop on Modern Methods in Survey Sampling, Ottawa, ON [R code demo]
May 14, 2024: featured in Colby News article about our Spring 2024 ASA DataFest
January 3, 2024: publication of “Design-based conformal prediction”, Wieczorek, Survey Methodology, 49 (2), 2023
January 1, 2024: granted tenure and promoted to Associate Professor of Statistics [Colby News article]
September 7, 2023: acceptance for publication of “Design-based conformal prediction”, Wieczorek, Survey Methodology [GitHub repo with code for the paper]
August 23, 2023: interviewed by Colby News for an article on “Building a Better Statistical Model”
August 8, 2023: presenting on “Design-Based Conformal Prediction for Survey Sampling” at the Joint Statistical Meetings, Toronto, ON [slides]
August 1, 2023: presenting on “Design-Based Conformal Prediction for Survey Sampling” at the US Census Bureau’s Summer at Census seminars program
July 31, 2023: revised preprint available on arXiv of “Design-based conformal prediction”, Wieczorek
July 23, 2023: interviewed by the Portland Press Herald for an article on “Can ChatGPT help Maine food professionals save time?”
July 5, 2023: mentioned in Colby News in an article on “A ‘Co-Creative Relationship’ Toward Building Community”
June 27, 2023: preprint available on arXiv of “Assessing small area estimates via artificial populations from KBAABB: a kNN-based approximation to ABB”, Wieczorek, White, et al.
May 23, 2023: awarded a $20,000 grant to work on “Creating testbed populations for the Partnership for Small Area Estimation (PSAE) simulation
studies” from the National Council for Air and Stream Improvement, Inc. (NCASI) Foundation and the Forest Inventory and Analysis (FIA) program of the US Forest Service
April 25, 2023: presenting on “Conformal prediction for timber damage after wildfires” at a Natural Sciences Division Lunch meeting at Colby College
March 2, 2023: preprint available on arXiv of “Design-based conformal prediction”, Wieczorek
Fall 2022: We are hiring a tenure-track statistician to join our department at Colby College. We start reviewing applications on Oct 24, 2022. More details here.
October 5, 2022: presenting on “Joint Confidence Regions for Communicating Uncertainty in Rankings” to a reading group at the Center for Statistics and the Social Sciences, University of Washington, presented virtually
September 14, 2022: acceptance of “Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm,” Good et al., to NeurIPS 2022
August 6-11, 2022: presenting on “Joint Confidence Regions for Communicating Uncertainty in Rankings” at the Joint Statistical Meetings, Washington, DC [slides]
June 20-23, 2022: presenting a poster on “CIPerm: An R package for Computationally Efficient Confidence Intervals from Permutation Tests” at useR!, the R User Conference, held virtually
May 23-27, 2022: presenting on “How do we assess the performance of our small area estimators?” at the Small Area Estimation Conference, College Park, MD
April 25, 2022: acceptance of R package “CIPerm: Computationally-Efficient Confidence Intervals for Mean Shift from Permutation Methods,” Tupaj and Wieczorek, to CRAN
April 22, 2022: acceptance and online publication of “Think-aloud interviews: A tool for exploring student statistical reasoning,” Reinhart, et al., Journal of Statistics and Data Science Education
January 13, 2022: acceptance and online publication of “K-fold cross-validation for complex sample surveys,” Wieczorek, Guerin, and McMahon, Stat
January 10, 2022: acceptance of R package “surveyCV: Cross Validation Based on Survey Design,” Guerin, McMahon, and Wieczorek, to CRAN
December 14, 2021: provided mentoring as part of the debut ML4D mentorship session in the 2021 ML4D (Machine Learning for Development) Workshop at the NeurIPS conference, held virtually
August 7-12, 2021: led a roundtable discussion on “Machine Learning with Complex Survey Data” at the Joint Statistical Meetings, held virtually
July 22, 2021: online publication of “Model-Selection Properties of Forward Selection and Sequential Cross-Validation for High-Dimensional Regression,” Wieczorek and Lei, Canadian Journal of Statistics [full text read-only link]
July 1, 2021: posted “Apportionment Calculator” R Shiny app, accompanying Amstat News article on “Demystifying Apportionment Computations for the US House of Representatives”
June 28 – July 1, 2021: presenting on “Fundamentals of data visualization for education” at the US Conference on Teaching Statistics, held virtually
June 10, 2021: featured in Colby Magazine article about our Spring 2021 ASA DataFest
June 2-4, 2021: presenting on “K-fold Cross-Validation for Complex Sample Surveys” at the Symposium on Data Science & Statistics, held virtually
May 24-26, 2021: presenting on “K-fold Cross-Validation for Complex Sample Surveys” at the US Census Bureau’s Summer at Census seminars program, held virtually
March 19-21, 2021: helped to organize the first Colby College DataFest, a regional event under the auspices of the ASA DataFest, with student participants from Colby College, Bates College, Bowdoin College, and College of the Atlantic
December 22, 2020: acceptance of “Model-Selection Properties of Forward Selection and Sequential Cross-Validation for High-Dimensional Regression,” Wieczorek and Lei, Canadian Journal of Statistics
March 12, 2020: online publication of “A joint confidence region for an overall ranking of populations,” Klein, Wright, and Wieczorek, Journal of the Royal Statistical Society: Series C
January 24, 2020: presenting on “K-fold Cross-Validation for Complex Survey Data” at UMass Amherst, Amherst, MA
November 1, 2019: preprint available on arXiv of “Think-aloud interviews: A tool for exploring student statistical reasoning”, Reinhart et al.
October 22, 2019: presenting on “Model Selection and Stopping Rules for High-Dimensional Forward Selection” at Bowdoin College, Brunswick, ME
October 10, 2019: Instagram story about my “Statistical Surveys, Censuses, and Society” civic engagement course, partnering with the Waterville Fire-Rescue Department
July 24-27, 2019: presenting on “K-fold Cross-Validation for Complex Survey Data” at the IMS New Researchers Conference, Fort Collins, CO
May 29 – June 1, 2019: presenting on “A Three-Part Data Visualization Curriculum” at the Symposium on Data Science & Statistics, Bellevue, WA
May 16-18, 2019: presenting on “Using think-aloud interviews to assess student understanding of statistics concepts” at the US Conference on Teaching Statistics, State College, PA
May 2019: print publication of “A Primer on Visualizations for Comparing Populations, Including the Issue of Overlapping Confidence Intervals,” Wright, Klein, and Wieczorek, The American Statistician