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MIDAS Student Quarterly

Connecting students in infectious disease modeling.

Vision

The MIDAS Student Network is a subnetwork amongst graduate (Masters and PhD) students in the MIDAS Network. We hold a quarterly meeting to establish professional student relationships across the network, foster future collaborations, share educational resources, and provide a relaxed environment to share research progress and ideas to one another.

 

Please sign up here if you are interested in receiving updates about the student network and participating in future events.

MIDAS Student Mentorship Program

Purpose: The purpose of this mentorship program is to build a conduit for undergraduate students to become aware of and potentially become engaged in infectious disease modeling during their academic and post-graduation careers. This will occur through sharing of knowledge and experiences between a graduate student mentor with a background in infectious disease modeling and an undergraduate student interested in learning more about the field. There are many ways in which individuals make academic transitions into infectious disease modeling, thus a constructive mentorship relationship can take many forms.

 

 

Mission: The mission of the MIDAS Mentorship Program is to promote student interest in infectious disease modeling by facilitating mentoring relationships and providing guidance to mentees.

 

 

Goals 

1) To help undergraduates gain insight into the broad field of infectious disease modeling, including how to become more involved in infectious disease modeling, educational trajectories, and career prospects.

2) To build a network of infectious disease modelers from various and diverse backgrounds or expertise. 

 

If you are interested in applying to become a MIDAS Mentor, please click here. More information is coming soon for potential mentees.

MIDAS Mentors

PhD Candidate
University of Cambridge
Biological Sciences, Humanities
Extensive collaborative research experience across academia (MIT, University of Cambridge, Harvard, UW-Madison, Institut Pasteur, Universitat Pompeu Fabra), industry, government (NIH x2, VA) and non-profit institutions based in North America, Europe and Africa. Combination of wet and dry lab skills with a focus on local capacity building. Took 4 years off before matriculating for my PhD studies.
Postdoctoral Researcher
National Veterinary School of Toulouse
Biological Sciences
My research interest and experiences involve infectious disease dynamics (IDD) in wildlife, livestock and humans. Currently, I use phylodynamics models, which is a type of mathematical models of IDD that can combine pathogen genomic and epidemiological data, to investigate avian influenza epidemics in poultry.
Post Doctoral Data Scientist
Technological University Dublin
Mathematical and Physical Sciences
I am a postdoc working on agent-based models for the spread of infectious diseases, currently focusing on COVID-19 spread in Ireland, and also working on a project that uses machine learning to improve stroke outcomes. My work has focused on both answering technical modeling questions, such as how many runs of a simulation do we need to do, and public health questions, such as how do clusters of unvaccinated agents impact an outbreak of measles.
Postdoctoral Fellow
Centers for Disease Control and Prevention
Biological Sciences, Social, Behavioral and Economic Sciences
I'm currently deployed to the COVID-19 response to help identify emerging hotspots. I am normally an interdisciplinary public health scientist that synthesizes quantitative and qualitative data to inform leadership in public health policy and decision-making. As a student, my advising committee comprised a physicist, computer scientist, disease ecologist, and epidemiologist.
Research Assistant and PhD Candidate
University of Louisiana at Lafayette
Mathematical and Physical Sciences, Social, Behavioral and Economic Sciences
My research focuses on disease ecology with particular methodological focus on data fitting of compartmental/mechinistic models, identifability analysis, and uncertainty quantification. I have published one paper on COVID-19 and submitted another, and will shortly submit work on foot and mouth disease viruses (FMDVs).
Postdoctoral Fellow
Johns Hopkins University
Biological Sciences
My research focuses on sero-epidemiology and infectious disease modeling. I draw on my PhD training in immunology and postdoctoral work in spatial epidemiology to develop tools for combatting respiratory and enteric pathogens.
Doctoral Student
Stanford University
Biological Sciences, Computer and Information Science and Engineering, Mathematical and Physical Sciences
I am a disease ecologist by training and I work in the space of statistical and machine learning modeling for disease transmission dynamics.
PhD Student
Charité – Universitätsmedizin Berlin
Biological Sciences
Biologist and Microbiologist from Universidad de los Andes, Bogotá, Colombia. Now I am focused on mathematical modelling of childhood diseases seasonality in my PhD at the Max Planck Institute for Infection Biology, Berlin, Germany.
DPhil Student
University of Oxford
Biological Sciences
I received training in medicine, public health and epidemiology in both the UK and China. My DPhil research focus on network models of COVID-19 transmission in the UK.
Postdoctoral Fellow
Northwestern University
Mathematical and Physical Sciences, Social, Behavioral and Economic Sciences
Manuela Runge is malaria epidemiologist with focus on transmission and intervention impact modeling to support strategic planning of malaria interventions in Sub-Saharan Africa. She has also worked on a COVID-19 compartmental modeling to provide weekly forecasting to the local health department in Illinois.
PhD Student
Emory University
Biological Sciences
I am interested in using pathogen sequence data and mathematical models to understand the interaction between pathogen ecology, evolution, and epidemiology. I am particularly interested in how pathogen transmission between hosts shapes the patterns of pathogen evolution observed at the population scale for pathogens such as SARS-CoV-2, influenza, and norovirus.
Postdoctoral Fellow
University of Cape Town
Biological Sciences, Mathematical and Physical Sciences
I am using the application of Mathematical and Statistical techniques to describe the pharmacokinetics and pharmacodynamics of drugs for the treatment of infectious diseases.
Postdoctoral Associate
Yale University
Mathematical and Physical Sciences
My current research focuses on 1) evaluating the effect of vaccines on household transmission of Sars-Cov-2, and 2) developing novel methods for the analysis of intervention trials incorporating adaptive and multiple endpoints, with specific application to RSV vaccines. During my PhD, I applied several statistical methods to evaluate the impact of meningoccal vaccination programs.
PostDoc
Centers for Disease Control and Prevention
Biological Sciences, Mathematical and Physical Sciences
My past research focused on modeling the effects of contact patterns on the spread of TB and COVID. At the CDC, I work with the Division of Global Migration and Quarantine on a variety of applied projects including studying the effects of public health policy on domestic travel volume and the efficacy of intervention strategies to prevent the spread of COVID in travelers and migrants.
PhD Candidate
University of Virginia
Computer and Information Science and Engineering
My research interests lie in solving fundamental problems (eg. resource allocation under constraints) -- using theoretical tools, particularly from combinatorial optimization, approximation/randomized algorithms, and network science -- that arise in epidemiology, public health and bioinformatics.
PostDoc
Penn State University
Mathematical and Physical Sciences
I use computational and mathematical methods to investigate emerging infectious diseases. I particularly enjoy collaborating with multiple research groups and individuals.
Research Fellow
London School of Hygiene & Tropical Medicine
Mathematical and Physical Sciences
My research experience to date has involved using mathematical models to understand real-world phenomena. I have worked on a number of network-based models (in neuroscience and in epidemiology), and on more traditional compartmental style epidemiological models. My current research is focussed full-time on the COVID-19 response in the UK.
Postdoctoral Scholar
University of California San Francisco
Mathematical and Physical Sciences
The over-arching theme of my research is to use epidemiological models, closely linked to empirical data, to better understand the landscape of immunity to infectious diseases. I first learned about infectious disease modeling through a summer research internship opportunity during my undergrad studies, which inspired me to pursue a career in this field!
PostDoc
U.S. Department of Health and Human Services
Biological Sciences, Computer and Information Science and Engineering
I am an infectious diseases modeler with a background in ecology and evolution; I am currently using a combination of mathematical and statistical modeling to analyze dengue surveillance data to derive key epidemiological indicators of dengue disease severity and have been working on COVID-19 with CDC's Modeling team since 2020.
Postdoctoral Scholar
University of Notre Dame
Mathematical and Physical Sciences
I have conducted research across a range of modeling approaches (including compartmental, stochastic, agent-based) and diseases (dengue, COVID-19, bluetongue, tuberculosis). Current projects include developing a within-vector model of bluetongue virus and using an agent-based model to analyze the utility of local-scale surveillance of SARS-CoV-2 in sewage.
PhD Student
Kyoto University
Biological Sciences
I am pursuing a Ph.D. in infectious disease modeling. Most recently I am working on COVID-19 modeling as a member of the Japan National COVID-19 Cluster Taskforce, Ministry of Health, Labour, and Welfare, Japan.
Postdoctoral Fellow
Yale University
Biological Sciences, Mathematical and Physical Sciences
I'm a public health research epidemiologist whose research focuses on communicable diseases, including the use of mathematical models; child health; health equity; public health policy; and health services research. I obtained my BSc in biomedical sciences and mathematics, Master of Public Health in epidemiology, and PhD in epidemiology and public health policy in Canada, and am currently a Postdoctoral Fellow at the Yale School of Public Health’s Public Health Modeling Unit.
PhD Student
Central University of Rajasthan
Mathematical and Physical Sciences
I have passed 4 years in my PhD research with doing work in mathematical epidemiology and ecology. Currently, I am working to understand the effects of age in transmission dynamics of COVID-19 in India.
PhD Student
Boston University
Biological Sciences, Social, Behavioral and Economic Sciences
My research projects involved methods for heterogeneous reproductive number estimation, probabilistic graphical models with applications to genomics and genetics studies.

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