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Publications in VIVO

Larremore, Daniel Benjamin

Associate Professor

Positions

Research Areas research areas

Research

research overview

  • Dr. Larremore's research focuses on developing methods of networks, dynamical systems, and statistical inference, to solve problems in social and biological systems. In particular, his work focuses on (1) infectious disease epidemiology and modeling, (2) the ecosystem of scientific research, including the dynamics of faculty hiring In 2020, and (3) networks, network theory, and their applications in computational social science.

keywords

  • Network science, dynamical systems, statistical models and inference, computational social science, science of science, patterns in academic science, COVID-19, SARS-CoV-2, malaria, recombinant genetics, epidemiology, infectious diseases, modeling

Publications

selected publications

Teaching

courses taught

  • CSCI 2897 - Calculating Biological Quantities
    Primary Instructor - Spring 2021 / Fall 2021 / Fall 2022
    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 Computer Science majors or minor.
  • CSCI 3022 - Introduction to Data Science with Probability and Statistics
    Primary Instructor - Spring 2018 / Fall 2018
    Introduces students to the tools methods and theory behind extracting insights from data. Covers algorithms of cleaning and munging data, probability theory and common distributions, statistical simulation, drawing inferences from data, and basic statistical modeling. Same as CSPB 3022.
  • CSCI 4802 - Data Science Team Companion Course
    Primary Instructor - Spring 2019 / Fall 2019
    Gives students hands-on experience applying data science techniques and machine learning algorithms to real-world problems. Students work in small teams on internal challenges, many of which will be sponsored by local companies and organizations and will represent the university in larger teams for external challenges at the national and global level, such as those hosted by Kaggle. Students will be expected to participate in both internal and external challenges, attend meetings and present short presentations to the group when appropriate. Same as CSCI 5802.
  • CSCI 4830 - Special Topics in Computer Science
    Primary Instructor - Spring 2023 / Spring 2024
    Covers topics of interest in computer science at the senior undergraduate level. Content varies from semester to semester. Only 9 credit hours from CSCI 4830 and/or CSCI 4831 can count toward Computer Science BS or BA.
  • CSCI 4950 - Senior Thesis
    Primary Instructor - Spring 2019 / Fall 2019 / Spring 2020 / Fall 2020 / Spring 2021
    Provides an opportunity for senior computer science majors to conduct exploratory research in computer science as an option for the capstone requirement. Department enforced prerequisites: 35 hours of Computer Science coursework including Foundation courses, Upper-Division writing, CS GPA 3.0. Department consent required, contact academic advisor for details. May be repeated up to 8 total credit hours.
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Background

International Activities

Other Profiles

Github

  • dblarremore