Alexander Gutfraind

    Email Address:
    College: School of Public Health Department: Epidemiology and Biostatistics
    Title: Adjunct

    Participating in the Chancellor’s Undergraduate Research Awards program: Yes

    Research Interest:
    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.

    Minimum time commitment in hours per week: 3

    Qualifications of a Student:
    * Interest in cutting-edge academic research, and continuing into graduate school or industrial research.
    * Desirable: Experience with data analysis using tools like Excel, Access, R, Python and others
    * Highly valuable: experience with computer programming in any programming language

    Brief Summary of what is expected from the student:
    You will have opportunities to contribute your skills and ideas to a number of cutting edge research projects. Depending on your skills, you might be involved in analyzing data, constructing and testing hypotheses. You will be expected to master valuable transferable skills such as data analysis algorithms, geographic information systems, and statistical analysis. You will be involved in writing academic publications. Compensation is available.

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