About Me

I’m currently a biostatistics Ph.D. student at New York University and my thesis advisors are Michele Santacatterina and Samrachana Adhikari. Previously I was an undergraduate at CUNY - Queens College where I completed my B.A. in mathematics.

My research focuses on the development and application of causal inference and data science methods using both experimental and observational data. Past projects have included methods for improving precision when estimating heterogenous treatment effects, developing new doubly robust mehtods for time-to-event outcomes in platform designs, and new methods for longitudinal studies with missing data.

Research Interests

• causal inference
• semiparametric theory
• machine learning
• bayesian statistics
• data science applications to professional sports

Publications

1. A. D’Alessandro, J. Kim, S. Adhikari, D. Goff, F. Bargagli-Stoffi, M. Santacatterina: Modern Causal Inference Methods for Imrpoved Power in Randomized Controlled Trials.. Statistics in Medicine, 2026.
2. A. D’Alessandro, S. Adhikari, M. Santacatterina: Causal Surival Analysis in Platform Trials with Non-Concurrent Controls.. Under Review.
3. H. Susmann, A. D’Alessandro: The Counterfactual Combine: A Causal Framework for Player Evaluation.. Under Review.

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