Jonas L. Juul
Assistant Professor
Computer Science Department
IT University of Copenhagen

jjuuitu.dk
University address: Rued Langgaards Vej 7, 2300 Copenhagen S, Denmark
Office: 3F11, Kaj Munks Vej 9
@jonassjuul
@jonassjuul

[Curriculum Vitae]

I use statistical methods, mathematical modeling and computer simulations to study social networks, spreading processes and human behavior. Recently, I have been particularly interested in how content spreads between online users, and how to mitigate the spread of diseases in human populations. I approach these questions both empirically — using methods from modern data science — and theoretically with methods from physics and mathematical modeling.

Biography
Before joining the IT University of Copenhagen, I was a Carlsberg Foundation Fellow at the Technical University of Denmark. Before that, I was a post-doctoral researcher at the Center for Applied Mathematics, Cornell University where I was fortunate to be mentored by Austin Benson, Jon Kleinberg and Steven Strogatz. I was part of Statens Serum Institut's expert group on mathematical modeling of COVID-19 during the reopening of Denmark in the spring and summer of 2020. I obtained my Ph.D. in Physics of Complex Systems from the Niels Bohr Institute in 2020. My Ph.D. supervisors were Joachim Mathiesen and Mogens H. Jensen.

News

• I joined the Networks, Data, and Society group at the IT University of Copenhagen as an Assistant Professor! Woohoo!
  
• With Sune Lehmann, I am arranging the talk series The Science of the Predicted Human. Amazing speakers are joining us in Copenhagen. Check out the schedule here,
  
• Our paper on behavior changes following terror attacks is out in its final form: Group-specific behavior change following terror attacks,
  
• New preprint with Jon Kleinberg and Austin Benson: Hypergraph patterns and collaboration structure,
  
• New address! I am now a Carlsberg Foundation postdoc in Sune Lehmann's group at DTU. Thanks for two wonderful years, Cornell!
  
• New preprint with Steve Strogatz: Comparing the efficiency of forward and backward contact tracing,
  

ITU Classes

• Fall 2024: Machine Learning

DTU Classes

• Fall 2023: Social graphs and interactions

Cornell Classes

• Fall 2021: MATH 3230 Introduction to Differential Equations
• Fall 2020: MATH 3230 Introduction to Differential Equations

Teaching material produced in the past

• MatF2 Pencasts illustrating how to solve exercises (Niels Bohr Institute TA material; in Danish).
• Linear Algebra voluntary exercise (Niels Bohr Institute TA material based on my own research; in Danish).

Preprints

• Is it getting harder to make a hit? Evidence from 65 years of US music chart history,
  Marta Ewa Lech, Sune Lehmann, and Jonas L. Juul,
  arXiv:2405.07574
• Are fast test results preferable to high test sensitivity in contact-tracing strategies?,
  Jonas L. Juul and Kaare Græsbøll,
  arXiv:2206.15080

Accepted and published research papers

1. High-resolution epidemiological landscape from ~290,000 SARS-CoV-2 genomes from Denmark ,
   Mark P. Khurana et al.,
   Nature communications 15 7123 (2024)
2. Hypergraph patterns and collaboration structure,
   Jonas L. Juul, Austin R. Benson and Jon Kleinberg,
   Frontiers in Physics 11 (2023)
3. Comparing the efficiency of forward and backward contact tracing,
   Jonas L. Juul and Steven H. Strogatz,
   Physical Review E 108, 034308 (2023)
4. Group-specific behavior change following terror attacks,
   Jonas L. Juul, Laura Alessandretti, Jesper Dammeyer, Ingo Zettler, Sune Lehmann and Joachim Mathiesen,
   Journal of Computational Social Science (2022)
5. Comparing information diffusion mechanisms by matching on cascade size,
   Jonas L. Juul and Johan Ugander,
   Proceedings of the National Academy of Sciences 118(46) (2021)
6. How a minority can win: Unrepresentative outcomes in a simple model of voter turnout,
   Ekaterina Landgren, Jonas L. Juul and Steven H. Strogatz
   Physical Review E 104, 054307 (2021)
7. Fixed-time descriptive statistics underestimate extremes of epidemic curve ensembles,
   Jonas L. Juul, Kaare Græsbøll, Lasse Engbo Christiansen and Sune Lehmann,
   Nature Physics, 175-8 (2021), arXiv:2007.05035
8. Descendant distributions for the impact of mutant contagion on networks,
   Jonas S. Juul; Steven H. Strogatz,
   Physical Review Research, 2, 033005 (2020), arXiv:1910.00655
9. Constraints on somite formation in developing embryos,
   Jonas S. Juul; Mogens H. Jensen and Sandeep Krishna,
   16 Journal of the Royal Society Interface
10. Entrainment of oscillations as a means of controlling somite patterning in a model of coupled presomitic mesoderm cells,
    Jonas S. Juul, Sandeep Krishna and Mogens H. Jensen,
    Physical Review E 98, 062412 (2018)
11. Isospectral discrete and quantum graphs with the same flip counts and nodal counts,
    Jonas S. Juul and Christopher H. Joyner,
    Journal of Physics A: Theoretical and Mathematical, 51, 245101 (2018)
12. Hipsters on Networks: How a Small Group of Individuals Can Lead to an Anti-Establishment Majority,
    Jonas S. Juul and Mason A. Porter,
    Physical Review E, 99, 022313 (2019), arXiv:1707.07187
    
13. Synergistic Effects in Threshold Models on Networks,
    Jonas S. Juul and Mason A. Porter,
    Chaos 28, 013115 (2018)

Book reviews

1. The Rules of Contagion: Why Things Spread—and Why They Stop,
   Sune Lehmann and Jonas L. Juul,
   The Mathematical Intelligencer 44, 76–77 (2022)