Antonio Khalil Moretti

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

• Mixed Curvature Decision Trees and Random Forests
  Chlenski, P., Chu, Q., Khan, Du, K., Moretti, A., Pe'er, I.
  International Conference on Machine Learning (ICML), 2025
• 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
• 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
  🏆 Journal-to-Conference (JTC) Certificate — presented at ICLR 2026 (video requires ICLR login)
• 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 2026)
  • Artificial Intelligence (SCIS 432)
  • Data Structures and Algorithms (SCIS 313)
  • Discovering Computer Science (SCIS 111)
• Spelman College (Fall 2025)
  • Senior Design (SCIS 485)
  • Discovering Computer Science (SCIS 111)

Contact

Email: antoniomoretti@spelman.edu

Office: 218 Tapely Hall