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Carlo Graziani

Computational Scientist

Education

Affiliations

Bio

Carlo Graziani received a B.S. in applied physics from Columbia University School of Engineering and Applied Science in 1982 and a Ph.D. in physics from the University of Chicago in 1993. He was a postdoctoral research associate at the University of Chicago for the summer of 1993 and then an NRC/NASA research associate at the Goddard Space Flight Center from 1993 to 1996 and at the Enrico Fermi Institute, the University of Chicago, from 1996 to 1999. He then worked as a science team member of the international High-Energy Transient Explorer (HETE) project for over a decade. In June 2007 he joined the University of Chicago, where he was a research associate professor in the Department of Astronomy & Astrophysics. He joined Argonne National Laboratory in 2017. He works on problems of computational science, statistics, uncertainty quantification, machine learning, and probabilistic forecasting. MIDAS project-relevant work includes work on Bayesian analysis of growth and decline of vaccine efficacy.

Preferred Pronouns

Prefer not to disclose

Personal Academic Website

Research/Topics of Interest

Apply models to public health
Compartmental models
Forecasting
Machine learning models
New methods development
Statistical models
Time-series models
Vaccines
Uncertainty Quantification
Bayesian Modeling
Machine Learning

Pathogens/Diseases of Main Interest/Expertise

COVID-19
Vaccine-preventable diseases

Countries of Work/Collaboration

United States

Projects

Papers

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