About me
I am a Postdoctoral research fellow in Biostatistics at the Harvard SPH and the Dana-Farber Cancer Institute, where I work with Professors Jeff Miller and Giovanni Parmigiani. I obtained my Ph.D. in Statistical Science at Duke University, under the supervision of Professor David Dunson.
My goal is to develop probabilistic machine learning methods to model hidden phenomena, with applications to biology, health, and environmental science.
I am also a board member and treasurer of j-ISBA, the junior section of the International Society for Bayesian Analysis, supporting the community of young Bayesians across all continents.
Research areas
Probabilistic machine learning
Generative stochastic processes
Bayesian methods
Decision theory for Agentic AI
Multiverse analysis
Experimentation
Precision medicine
Computational biology
Cancer genomics
AI for ecology
Biodiversity
DNA barcoding
For my research, I received
- the 2024 Savage Award in Applied Methodology, for my doctoral dissertation in Bayesian methods for ecology
- the Lindley Prize (honorable mention) 2025, for my work on the Logistic-beta processes
- the BEST Ph.D. student research award, Dept. of Statistical Science, Duke University
Address:
655 Huntington Ave, Boston, MA 02115, United States
Email:
azito@hsph.harvard.edu
Links: