Caroline Glidden, Phd Email & Phone Number

United States

•Manage three research projects using machine learning to (1) identify risk factors for disease transmission and (2) develop disease forecasts; in collaboration with the Brazilian Ministry of Health and São Paulo State Health Secretariat; all projects use longitudinal case report data from the public health registry (month-municipality from 2001-2022), disease surveillance records, and socio-environmental data (e.g., Copernicus Climate Data) (in R, Python, JavaScript)• Provide computational and data management support for a machine learning project developing West Nile Virus early warning systems in the USA; uses case report and geospatial data•Provide computational and data management support for a study identifying drivers of malaria resurgence in Costa Rica; requested by the Costa Rican Ministry of Health; uses observational case report, vector surveillance, and geospatial data•Learn and teach analytical skills (e.g., deep learning and econometrics) that will advance the research agenda of the Mordecai Lab•Mentor and manage five undergraduate and three graduate students in epidemiology, geospatial data science, statistics, machine learning, and scientific communication via scientific writing and conference presentations; coordinate and teach workshops on geospatial data acquisition, cleaning, and analysis •Write peer-reviewed journal articles and present research at national and international conferences•Prepare grant applications for $100k - $1M+ awards; prepare annual reports for National Science Foundation and National Institutes of Health research grants of $1-3M•Use Git for version control; publish code accompanying publications on GitHub

Stanford, California, United States

•Collaborated with a group of Stanford interdisciplinary AI researchers (30 Fellows in biology, law, sociology, computer science) to advance the ethical development and application of AI•Attended Stanford Institute for Human-Centered AI seminars, which covered topics related to application of AI to promote societal good and ethical challenges of AI use and advancement.

•Develop machine learning and mathematical models to better understand the impact of global change on infectious disease risk and epidemiology of environmental pathogens (in R and Google Earth Engine (Java))•Coordinate international teams of 3-5 principal investigators, grad students, and post-docs in the USA, Peru, and Brazil •Mentor 3 undergraduate and 2 graduate students in data science, analytical skills (statistical and machine learning models), scientific communication via scientific writing and conference presentations•Write peer-reviewed journal articles and present research at national and international conferences•Prepare fellowship applications; prepare annual reports for National Science Foundation and National Institute of Health research grants of $1-3M

• Human Anatomy and Physiology Laboratory, 2019-2020• General Biology Laboratory, 2014-2015 and 2018-2019• Sustainable Livelihoods and Sustainable Conservation in South Africa, a field course in Kruger National Park, South Africa, 2018

•Conceptualized, planned, and completed longitudinal research projects studying the multi-scale transmission dynamics of pathogens (bacteria, viruses, protozoa, and helminths) that spillover from wildlife to livestock; work included estimating health outcomes based on infection status and immunological responses•Conducted field work and laboratory work (disease diagnostics and immunological assays) with South African Veterinary Wildlife Services in Kruger National Park for 1.5 years•Developed a novel metagenomics pipeline for detecting and describing complex protozoa co-infections •Identified immunological markers that can be used to detect infections without a priori knowledge of pathogen identity•Used a suite of statistical techniques, such as mixed models, empirical dynamical models, non-dimensional scaling analyses, survival analyses, and conditional random field models, to translate within host pathogen interactions to population-level between host disease transmission•Mentored four veterinary students in statistical analyses and coding in R; all four students published peer-reviewed manuscripts

Doctor Of Philosophy (Ph.D.), Integrative Biology, Minor In Statistics

Bachelor'S Degree, With Honors, Ecology And Evolutionary Biology

Magna Cum Laude