about
Michele Santacatterina
Understanding causality is not just about predicting outcomes;
it's about shaping the future with informed decisions
Michele Santacatterina, Ph.D. is a passionate educator and published academic , known for his expertise and contributions to intelligent decision-making powered by causality. Michele uniquely bridges academia and industry, currently holding positions as an Assistant Professor and as a research advisor at a MAANG company. This dual role infuses his teachings with a blend of academic depth and practical industry experience.
Michele specializes in leveraging causal inference, AI and machine learning methods to empower learners in understanding the dynamics of causality. His approach emphasizes the integration of various data sources, including real-world data, experiments, and comprehensive datasets, to unravel causal relationships and drive informed decision-making.
ML and Conferences
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- Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
- MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection
- A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects
- A Fast Bootstrap Algorithm for Causal Inference with Large Data
- Deep survival analysis with longitudinal X-rays for COVID-19
- Kernel Optimal Orthogonality Weighting: A Balancing Approach to Estimating Effects of Continuous Treatments
- Optimal Estimation of Generalized Average Treatment Effects using Kernel Optimal Matching
- More robust estimation of sample average treatment effects using Kernel Optimal Matching in an observational study of spine surgical interventions
- CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning
- Optimal Balancing of Time-Dependent Confounders for Marginal Structural Models
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Teaching
He designs and delivers graduate-level courses, enriching students’ understanding of causal models and machine learning applications in practical contexts. Furthermore, Michele’s expertise extends beyond traditional academic boundaries as he conducts workshops and delivers talks at prestigious conferences such as Harvard Catalyst, disseminating cutting-edge knowledge and fostering collaboration among researchers and practitioners.
Through his dynamic teaching style and profound insights, Michele empowers students and professionals alike to navigate complex decision landscapes with clarity and precision, leaving a lasting impact on the forefront of intelligent decision-making.
