Antonio Khalil Moretti

Office: 218 Tapely Hall

Teaching (Spring 2025): SCIS-470

I'm interested in machine learning, approximate inference, and more recently, algorithms for Riemannian geometries. If you're a student and interested in working with me on research, feel free to reach out. You can find some of my papers on arXiv or Google Scholar.

Biosketch

I'm an Assistant Professor of Computer Science at Spelman College. I was a Roman Family Teaching and Research Fellow in the Computer Science Department at Barnard College. I did my PhD in the Computer Science Department at Columbia University. Most of my work has focused on developing new approaches in Bayesian inference, probabilistic models, and machine learning applications in scientific research.

Recent Publications

Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space
Chen, A., Chlenski, P., Munyuza, Moretti, A., Naesseth, C., Pe'er, I.
Artificial Intelligence and Statistics (AISTATS), 2025
Mixed Curvature Decision Trees and Random Forests
Chlenski, P., Chu, Q., Khan, Moretti, A., Pe'er, I.
Under Review, 2025
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics
Yang, H.*, Moretti, A.*, Macaluso, S., Naesseth, C., Chlenski, P., Pe'er, I.
Transactions on Machine Learning Research (TMLR), 2024
Fast Hyperboloid Decision Tree Algorithms
Chlenski, P., Turok, E., Moretti, A., Pe'er, I.
International Conference on Learning Representations (ICLR), 2024
Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference
Moretti, A.*, Zhang, L.*, Naesseth, C., Venner, H., Blei, D., Pe'er, I.
Uncertainty in Artificial Intelligence (UAI), 2021

Courses Taught

Spelman College (Spring 2025)
- Digital Entrepreneurship
Spelman College (Fall 2024)
- Developing Accessible User Interfaces
- Introduction to Data Science
Barnard College (Spring 2023-2024)
- Developing Accessible User Interfaces
Barnard College (Fall 2022-2024)
- Introduction to Computational Thinking and Data Science
Columbia University (Fall 2017, Fall 2021)
- Discrete Mathematics: Combinatorics and Graph Theory
Fordham University (Spring 2016–2018)
- Machine Learning for Statistics
Fordham University (Fall 2017)
- Statistical Methods and Computation

Biosketch

Recent Publications

Courses Taught

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