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Dylan H. Morris

PhD Candidate, Ecology & Evolutionary Biology

Princeton University

Biography

I am a PhD candidate in Ecology and Evolutionary Biology at Princeton University, advised by Simon A. Levin. My principal research interests are mathematical biology and eco-evolutionary dynamics. In particular, I use mathematical models to study how the evolution of RNA viruses is shaped by ecological processes within and between hosts. Additional interests include developing Bayesian statistical methods for ecology and evolution research, and studying the historical contingency – or directedness – of adaptive evolution.

Interests

  • Mathematical biology
  • Population genetics
  • Eco-evolutionary dynamics
  • Virus ecology and evolution
  • Zoonotic disease emergence
  • Bayesian methods in ecology and evolution

Education

  • PhD Ecology and Evolutionary Biology, 2020 (expected)

    Princeton University

  • MPhil Applied Biological Anthropology, 2014

    University of Cambridge

  • BA Ethics, Politics, & Economics, 2011

    Yale University

Recent Posts

The dangers of seeking false certainty

I recently posted a thread on twitter about virus decay. In it, I explained that it’s a bit misleading to think about SARS-CoV-2 “surviving on plastic for 3 days” because the virus decays exponentially: if you start out with more virus, you’ll have detectable virus around for longer.
Last updated on 2020-04-21

SARS-CoV-2 is mutating; here's what that means

You’ve probably seen a lot of headlines like this one from the New York Daily News: “Coronavirus is mutating and now has eight strains: doctors”. These headlines are sensationalist and irresponsible.
Last updated on 2020-04-21

Is COVID-19 "airborne"?

You may have heard speculation that SARS-CoV-2, the virus causing the COVID-19 pandemic, is “airborne”. Sounds scary! You may have also heard public health officials reassure you that it’s not. But the “airborne” question bedevils scientists trying to communicate with the public.
Last updated on 2020-04-21

The risks of (mis)timing an exponential

A minimal mathematical model of the problems involved in attempting to enact an optimally-timed, short-lived disease control effort
Last updated on 2020-04-21

Immunity Primer

People who recover from an infection with SARS-CoV-2 / HCov-19 are likely to be immune for some time. That is, the virus is “immunizing”. To understand why this is likely to be the case, we need a quick primer on immunology.
Last updated on 2020-03-17
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Recent Publications

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Asynchrony between virus diversity and antibody selection limits influenza virus evolution

Seasonal influenza viruses create a persistent global disease burden by evolving to escape immunity induced by prior infections and …
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Optimal, near-optimal, and robust epidemic control

The COVID-19 pandemic has highlighted the need for control measures that reduce the epidemic peak (“flattening the curve”). Here we …
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Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1

A novel human coronavirus that is now named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (formerly called HCoV-19) …
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Wild hummingbirds discriminate non-spectral colors

Many animals have the potential to discriminate colors absent from the rainbow: the non-spectral colors. Purple is the only such color …

Predictive modeling of influenza shows the promise of applied evolutionary biology

Seasonal influenza is controlled through vaccination campaigns. Evolution of influenza virus antigens means that vaccines must be …
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Recent & Upcoming Talks

A Social Dilemma of Sociality and Collective Processing

Why are some animals socially gregarious while others keep to themselves? Evolutionary models of gregarious behavior typically treat …
2020-03-05 00:00

Asynchrony between virus diversity and immune selection limits influenza virus evolution

2019-06-01 00:00

Asynchrony between virus diversity and immune selection limits influenza virus evolution

2018-09-01 00:00

Population dynamics constrain immune escape in human influenza A viruses

2017-09-01 00:00

Contact

  • 106A Guyot Hall, Princeton University, Princeton, NJ 08544
  • Twitter