Presentations
Conference Presentations
“Stratified Sampling for Model-Assisted Estimation with Surrogate Outcomes” (Invited). New England Statistics Symposium, May 2026.
“Statistical Innovation with Text as Data in Causal Inference Contexts: Emerging Trends and Future Directions”. Joint Statistical Meetings, Portland, OR. Aug. 2024.
“More power to you: Using machine learning to augment human coding for more efficient inference in text-based randomized trials” (Invited). American Causal Inference Conference, Seattle, WA. May 2024.
“Matching with Text Data: Methods for matching text documents and measuring match quality in causal analyses” (Invited). HiTEc Meeting on Complex Data in Econometrics and Statistics, Cyprus. Mar. 2024.
“Decreasing the human coding burden in randomized trials with text-based outcomes via model-assisted impact analysis” (Invited). International Conference on Statistics and Data Science, Lisbon, Portugal. Dec. 2023.
“Decreasing the human coding burden in randomized trials with text-based outcomes via model-assisted impact analysis”. New Directions in Analyzing Text as Data, Amherst, MA. Nov. 2023.
“Using machine learning to decrease the human coding burden in randomized trials with text-based outcomes”. Society for Research on Educational Effectiveness, Washington DC. Sep. 2023.
“Using machine learning to decrease the human coding burden in randomized trials with text-based outcomes” (Invited). New England Statistics Symposium, Boston, MA. June 2023.
“Leveraging text data for causal inference using electronic health records” (Co-author, with Aaron Kaufman). American Causal Inference Conference, Austin, TX. May 2023.
“Bridging human and machine scoring in experimental assessments of writing”. APPAM Fall Conference, Austin, TX. Mar. 2022.
“Bridging human and machine scoring in experimental assessments of writing: Tools, tips, and lessons learned from a field trial in education”. Society for Research on Educational Effectiveness, Virtual. Sep. 2021.
“Analysis of longitudinal studies with treatment by indication”. International Conference on Health Policy Statistics, San Diego, CA. Jan. 2020.
“Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality”. Harvard Data Science Initiative Workshop on Causal Inference and Machine Learning, Cambridge, MA. Oct. 2018.
“Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality”. New Directions for Analyzing Text as Data, Seattle, WA. Sep. 2018.
“Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality”. Preconference on Politics and Computational Social Science, Boston, MA. Aug. 2018.
“Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality”. Annual Meeting of the Society for Political Methodology, Salt Lake City, UT. July 2018.
Invited Talks & Panels
“Stratified Sampling for Model-Assisted Estimation with Surrogate Outcomes”. Harvard IQSS Applied Statistics Seminar, Cambridge, MA. Mar. 2026.
Moderator for “From Theory to Practice: Navigating the Path to Actionable AI Solutions” panel. Bentley Global AI Summit, Waltham, MA. May 2024.
Panelist for “Careers in Academia: A Panel Discussion by NESS NextGen”. New England Statistics Symposium, Storrs, CT. May 2024.
“More power to you: A model-assisted approach for more efficient causal inference in text-based experiments”. Bentley University Mathematical Sciences Research Seminar, Waltham, MA. April 2024.
“Using machine learning to augment human coding for more efficient inference in text-based randomized trials”. Google Research Causal Inference Discussion Group, New York, NY. Feb. 2024.
Panelist for “Beyond Buzzwords: A Critical Look at Intersectionality in Data Analysis”. Bentley University MLK Day, Waltham, MA. Jan. 2024.
“Learning from language: New approaches for causal inference with text as data”. Wellesley College Mathematics Department Colloquium, Wellesley, MA. May 2021.
Panelist for “Careers in Data Science”. NESS NextGen Data Science Day (Virtual). Nov. 2020.
“Recent adventures in causal-ish inference with text as data”. Research Seminar Series, Harvard Institute for Quantitative Social Sciences, Cambridge, MA. Sep. 2020.
Panelist for “Challenges in Data Science”. NESS Data Science Day, Waltham, MA. Nov. 2019.
Co-organizer and instructor for “Causal inference in medicine: a toolkit for clinicians” workshop. MIT Critical Data, Nov. 2018.