I develop mathematical models and computational tools to help anticipate, manage, and recover from infectious disease outbreaks. I study the transmission dynamics of infectious diseases across scales, from within-host to community-level to global transmission dynamics. I also study how infectious diseases intersect with the educational, health, food system, and economic sectors.
COEN 1500 - CEAS First Year Seminar
Primary Instructor
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Fall 2025
The CEAS First Year Seminar is a small, discussion-based course designed to provide incoming first-year students a foundation to thrive as university scholars, meeting with them from their first day of classes through getting back the results of their first round of midterms. The seminar is a combination of a common curriculum (40% ) exploring texts concerning creating an engineering identity, the purpose of an engineering education and the larger values of the college community (mattering, belonging, agency, ownership, inclusivity and service) and a unique curriculum (60%) in which faculty members cultivate these values through their own areas of expertise and interest. This seminar represents the commitment of dedicated faculty to help incoming first-year students become an active and contributing part of the intellectual, inclusive, healthy, inquisitive, diverse, sustainable and socially engaged culture of the College of Engineering.
COEN 1830 - Special Topics
Primary Instructor
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Fall 2024
Explores topics of interest in engineering. Content varies by instructor and semester. May be repeated up to 9 total credit hours.
CSCI 2897 - Calculating Biological Quantities
Primary Instructor
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Fall 2023 / Fall 2024 / Fall 2025
Master practical mathematical techniques for representing and analyzing biological quantities of different kinds. Develop mathematical intuition about biological calculations. Learn to model and solve simple feedback processes. Learn to model and solve simple accumulation processes. Learn to model and decompose simple vector spaces. Learn standard approximation and optimization strategies. Adapt and combine methods to solve real-world problems. Background in biology not required. This course is intended for students who are interested in Computational Biology, but will not take Differential Equations (APPM 2360/MATH 3430) as part of their degree plan. Does not count as Computer Science credit for the Computer Science BA, BS or minor.
CSCI 7000 - Current Topics in Computer Science
Primary Instructor
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Spring 2024 / Spring 2025
Covers research topics of current interest in computer science that do not fall into a standard subarea. May be repeated up to 18 total credit hours.
