Hello! I am a fourth-year PhD student in the Statistics Department at the University of Michigan advised by Johann Gagnon-Bartsch. My research interests are broadly in survey statistics and casual inference, particularly in integrating auxiliary observational data sets with randomized datasets. I am interested primarily in applications to the social sciences, particularly education. Outside of work, I enjoy board games, baking, and swimming.
Education
PhD in Statistics | University of Michigan | 2022-Present
M.A. in Statistics | University of Michigan | 2022-2025
B.A. in Statistics | Carleton College | 2017-2021
Publications
Power Calculations for Randomized Controlled Trials with Auxiliary Observational Data
Educational Data Mining, 2024 Proceedings
Jaylin Lowe, Charlotte Mann, Jiaying Wang, Adam Sales, Johann Gagnon-Bartsch
Talks and Posters
Power Calculations for Randomized Controlled Trials with Auxiliary Observational Data
Michigan Student Symposium for Interdisciplinary Statistical Sciences (Feb 2025) and Joint Statistical Meetings (Aug 2024)
Jaylin Lowe, Charlotte Mann, Jiaying Wang, Adam Sales, Johann Gagnon-Bartsch
Tools for Planning and Analyzing Randomized Controlled Trials & A/B Tests
Educational Data Mining, Half Day Tutorial (July 2024)
Adam Sales, Johann Gagnon-Bartsch, Duy Pham, Charlotte Mann, Jaylin Lowe
Teaching
STATS 604 - Statistical Practice (Sept. 2024 - Dec. 2024)
STATS 470 - Introduction to the Design of Experiments (Jan. 2024 - May 2024)
STATS 306 - Introduction to Statistical Computing (Jan. 2023 - May 2023)
STATS 250 - Introduction to Statistics and Data Science (Sept. 2022 - Dec. 2022)
Service
PhD Student Council Recruitment Committee Co-Chair (Sept. 2024 - Present)
Graduate Student Mentor to Graduate Student Instructors (Sept. 2024 - May 2025)
Undergraduate Research Program in Statistics Mentor (Jan. 2024 - Jun. 2024)
Awards
Outstanding Graduate Student Instructor Team Award Honorable Mention (May 2025)
Michigan Student Symposium for Interdisciplinary Statistical Sciences Honorable Mention Oral Session Award (Mar. 2025)