Publications
Peer-reviewed publications:
Wadekar, A. S., & Reiter, J. P. (2024, November). Evaluating binary outcome classifiers estimated from survey data. Epidemiology, 35(6), pp. 805-812. https://doi.org/10.1097/EDE.0000000000001776
Wadekar, A. S. (2020, December). A psychosocial approach to predicting substance use disorder (SUD) among adolescents. In Proceedings of the IEEE/ACM International Conference on Social Networks Analysis and Mining (pp. 819–826). https://doi.org/10.1109/ASONAM49781.2020.9381378
Wadekar, A. S. (2020, March). Understanding opioid use disorder using tree-based classifiers. Drug and Alcohol Dependence, 208, 107839. https://doi.org/10.1016/j.drugalcdep.2020.107839
Publications under review/revision:
Wadekar, A.S. & Soloff, J.A. (2026, May). Calibration without labels in multiple testing. Submitted to NeurIPS.
Wadekar, A.S. & Reiter, J.P. (2025, May). A sensitivity analysis framework for quantifying confidence in decisions in the presence of data uncertainty. Resubmitted after major revision at Statistics and Public Policy. This article was submitted as my undergraduate thesis to the Department of Statistical Science at Duke University.
Non-peer-reviewed articles:
Wadekar, A.S. (2025, May). Algebraic and geometric aspects of log-linear models. Undergraduate thesis, Department of Mathematics, Duke University.
Oral presentations at conferences:
Truth or consequences? A principled path to evaluating classifiers using survey data, Symposium on Data Science and Statistics, St. Louis, Missouri. May 2023.
Predicting Opioid Use Disorder Using a Random Forest, IEEE 43rd Computer Software and Applications Conference, Milwaukee, Wisconsin. July 2019.
Grade-level Participation in the Advanced Placement Curriculum, IEEE Integrated STEM Education Conference, Princeton, New Jersey. March 2018.
Oral presentations on campus:
Using weights to improve the reliability of classification metrics with complex survey data, Duke Dept. of Statistical Science Seminar (January 2023).
Poster presentations on campus:
Towards sharper triangle-based distinguishability thresholds for random geometric graphs, Duke Dept. of Mathematics PRUV Fellows Research Symposium (September 2024).
Using weights to improve the reliability of classification metrics with survey data, Duke Huang Fellows Research Symposium (August 2022).
Awards
2026: Honorable Mention (Directorate for Mathematical Sciences), National Science Foundation Graduate Research Fellowship.
2025: Honorable Mention (Directorate for Computer and Information Science and Engineering), National Science Foundation Graduate Research Fellowship.
2025: Hubert M. Blalock Fellowship, Center for Statistics and the Social Sciences, University of Washington, Seattle (declined, $5,000).
2025: Genome Science Training Program Fellowship (declined for affiliate status), University of Michigan.
2025: Graduation with High Distinction, Department of Statistical Science, Duke University.
2025: Graduation with Distinction, Department of Mathematics, Duke University.
2024: Nominee for Churchill Scholarship (2 endorsed each year), Duke University.
2024: Semifinalist (7 semifinalists, 3 awardees out of 1700+ undergraduates) for Faculty Scholars Award, Duke University.
2024: Fifth Place Award for Breaking News Story of the Year, Associated College Press.
2024: Summer Institute in Biomedical Informatics (SIBMI) Research Fellowship, Harvard University ($4,500). ~20 selected from over 200 applications.
2024: Program for Research for Undergraduates (PRUV) Fellowship, Dept. of Mathematics, Duke University ($3,500).
2023, 2024: Deans' Summer Research Fellowship, Duke University (declined, $3,000).
2023: Finalist submission for Fischer-Zernin Award for Local Journalism, Duke University.
2023: Finalist submission for Melcher Award for Excellence in Student Journalism, Duke University.
2023: Conference Grant, Office of Undergraduate Research Support, Duke University ($500).
2022: Huang Research Fellowship, Initiative for Science and Society, Duke University ($6,000). (~20 selected out of 100+ applications).