Alexander Gutfraind
Adjunct
Research Interests
- Our lab is driven by curiosity and the desire to solve big problems. The projects usually involve programming and data. We both develop new computational methods and apply them to problems such as public health, security and others.
- Projects in decision theory
- The "unknown unknown" or "radical uncertainty" is a pervasive challenge in decision making. In our lab, we develop a theory of uncertainty and solve "insolvable" problems at the intersection of computing, decision theory and security.
- Projects in public health
- Algorithms with machine learning, generative AI and simulation promise to solve many problems in computing and public health. In our lab, we use such algorithms to forecast the spread of infectious diseases, develop new vaccines and therapies, and prepare for diseases like future pandemics
- Over the years the lab hosted dozens of students at different levels (from freshmen to graduate) many of whom published cutting-edge research and went on to successful careers.
At a Glance
- Title Adjunct
- College School of Public Health
- Department Division of Epidemiology and Biostatistics
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