Aside






Contact




Language Skills

R
Quarto/RMarkdown
LaTeX
git
bash/zsh
Python
HTML/CSS
Mathematica
SQL
MATLAB

Fluent in English, French, and Croatian.

Main




Irena Papst, PhD

I’m a scientist specializing in infectious disease modelling with highly-transferable skills in software development, data science, teaching, and scientific communication.

(she/elle)

Research Positions

Scientist

Modelling Hub, Science and Policy Integration Branch

Public Health Agency of Canada

Current - May 2022

  • Model and forecast infectious disease spread within the PHAC Modelling Hub
  • Develop internal modelling infrastructure and scientific software

Adjunct assistant professor

Department of Mathematics & Statistics

McMaster University

Current - Jul 2022

  • Collaborate on research projects related to mathematical biology and public health with members of the department
  • Help supervise students undertaking research projects

Postdoctoral fellow

Department of Mathematics & Statistics

McMaster University

May 2022 - Sep 2021

  • Modelling and analysing infectious disease dynamics with Drs. David J.D. Earn,
    Benjamin M. Bolker, and Jonathan Dushoff
  • Projects include forecasting SARS-CoV-2 infection reports for Ontario, Canada and developing software for simulating infectious disease spread

Education

PhD, Applied Mathematics

Center for Applied Mathematics

Cornell University

Aug 2021 - Sep 2015

  • Thesis: Mathematical modeling of infectious disease dynamics: from recurrence to emergence, advised by Dr. Steven Strogatz
  • Minors: Computational Science and Engineering, Mathematics
  • Courses: Advanced Topic Modeling, Applied Dynamical Systems, Applied Stochastic Processes, Asymptotics and Perturbation Methods, Matrix Computations, Numerical Analysis and Differential Equations, Stochastic Processes, Theory of Statistics
  • GPA: 4.12 out of 4.3

Publications

Age-dependence of hospitalization and fatality for different SARS-CoV-2 variants of concern in Ontario, Canada

Stelmach S, Bolker BM, Papst I, Dushoff J, Earn DJD

N/A

N/A

In preparation

Estimating the impact of COVID-19 vaccination in Canada: a counterfactual study

Mitchell EJ, Papst I, Bolker BM, Walker SW, Earn DJD

N/A

N/A

In preparation

Mathematical modelling for pandemic preparedness in Canada: Learning from COVID-19

Ogden NH, Acheson ES, Brown K, Champredon D, Colijn C, Diener A, Dushoff J, Earn DJD, Gabriele-Rivet V, Gangbe M, Guillouzic S, Hennessy D, Hongoh V, Hurford A, Kanary L, Li M, Ng V, Otto SP, Papst I, Rees EE, Tuite A, MacLeod MR, Murall CL, Waddell L, Wasfi R, Wolfson M

N/A

Oct 2024

Canada Communicable Disease Report
10.14745/ccdr.v50i10a03

I strive to produce clear and engaging publications accompanied by organized public code repositories so that all of my published work is reproducible.

Software

I develop open-source scientific software that is useful, user-friendly and well-documented.

ern

Author

N/A

N/A

  • An R package to estimate the Effective Reproduction Number using clinical and wastewater surveillance data, available on GitHub

EPACmodel

Author, maintainer

N/A

N/A

  • An R package to use documented and versionned iterations of the Early Pandemic Age-structured Compartmental model, available on GitHub

macpan2

Contributor

N/A

N/A

  • An R package to build fast and flexible compartmental models, available on GitHub

I am committed to open science and try to make all materials that I develop freely-available, including my talk slides.

Teaching

My extensive experience teaching spans topics across mathematics, statistics, and computer science, in large and small classroom settings, in-person and online.

Short Course on Forecasting for Decision-Making

Canadian Ecological Forecasting Initiative

Fields Institute

Jul 2023 - Jul 2023

  • One of four instructors for this short course with roughly 50 participants
  • Developed openly-available teaching materials, including a COVID-19 forecasting case study, a git/GitHub primer, and an introduction to modelling lecture

Introduction to Modelling

Department of Mathematics & Statistics

McMaster University

May 2022 - Jan 2022

  • Sole course instructor for a third year course of 150 undergraduate students, leading a team of three teaching assistants
  • Wrote and delivered lectures, designed assignments, and planned a group modelling project
  • Coordinated grading for all assessments, designed rubrics, and assessed submissions for group project components
  • Frequently corresponded with students over email, online discussion boards, and one-on-one in office hours










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Last updated on 30 May 25.