Infectious Disease Dynamics

Projects

HIV Dynamics We conduct highly interdisciplinary HIV research focused on the application of mechanistic models and molecular epidemiology to population-based cross-sectional and longitudinal survey data. Our efforts are largely concentrated in Sub-Saharan Africa.
Impetus The Impetus study aims to develop and extend statistical and modeling methodologies for spatial data.
Measles & Rubella Dynamics Working towards control, elimination, and eradication of two of the world's most infectious diseases.
Fluscape Characterizing the immune landscapes of human influenza in southern China.
Cholera Dynamics The Cholera Dynamics Project aims to study cholera transmission dynamics through mechanistic and statistical models using global incidence data.
Phylogenetic Study Design Developing methods to estimate informative sample sizes for phylogenetic studies.
Healthcare Epidemiology We work closely with the Johns Hopkins Hospital and other organizations to understand and combat healthcare acquired infections.
COVID-19 Our multi-faceted project focuses on response to the current COVID-19 coronavirus pandemic. The areas of interest range from health intervention tracking to contact tracing app development.
Cross-Sectional Incidence Testing Developing and validating testing algorithms to generate point estimates of HIV and HCV incidence.
Emerging Diseases Dynamic modeling and real time analyses to respond to emerging disease threats.

Postdoctoral Position: Mathematical modeling of infectious disease dynamics and evolution; including HIV, COVID-19, and drug resistance

The research group of Dr. Alison Hill at Johns Hopkins University invites applicants for a postdoctoral fellow to contribute to the group’s work developing mathematical models and computational tools to better understand, predict, and control infectious diseases. We are seeking a motivated and creative PhD-level scientist with experience applying mathematics to biological systems. The successful applicant will become a part of two highly-collaborative multi-PI groups at the university: the Institute for Computational Medicine (https://icm.jhu.edu/) and the Infectious Disease Dynamics Group (http://www.iddynamics.jhsph.edu/). The position is expected to be virtual for the duration of university closures in response to COVID-19.

Multiple positions are available to contribute to new and ongoing projects in the group, such as modeling a) within-host dynamics and evolution of HIV infection in response to antiretroviral therapy, b) cure strategies for HIV/AIDS including immunotherapy and latency-targeting therapies, c) strategies to slow the evolution of drug resistance for a wide range of pathogens, d) spread of COVID-19 and the efficacy of control policies. The group additionally studies the spread of bed bug infestations, antiviral immune responses, cancer-causing viruses, and the intersection of human behavior and infection spread. The work involves both deterministic and stochastic modeling, and working with a variety of data types and collaborators around the world. The successful candidate will also be welcome to pursue independent research topics of mutual interest. The lab is funded by grants from the National Institutes of Health and the Bill & Melinda Gates Foundation. More information about our current and previous work can be found at http://alsnhll.github.io/

The successful applicant should have a PhD in a quantitative field and some experience working on topics in biology, medicine, or public health. Example fields of training of former lab members include (but are not limited to) applied math, biophysics, epidemiology, systems biology, ecology/evolutionary biology, physics, and biomedical engineering. The ideal candidate would be able to follow projects through from conception to publication, be a strong writer, have experience presenting their work to scientific audiences from diverse fields, enjoy working collaborative, and be excited to mentor junior trainees. Programming skills (ideally in at least one of Python, R, or Matlab) are required.

The start date of the position is flexible, and could be as early as Dec 2020 or as late as Spring 2021. Due to university regulations during the COVID-19 pandemic, the applicant must already be living in the US and must be able to work remotely. The duration of the position is also flexible based on the employee's performance and career goals, and can be renewed on an annual basis. Salary is competitive and commensurate with experience; comprehensive benefits including health insurance are provided to all postdoctoral fellows.

Interested candidates should submit the following (in pdf form) to alhill [at] jhmi.edu :

- A cover letter describing the applicant's research interests, educational background and previous research experiences, and career goals

- A CV, which includes a link to a Google Scholar profile

- Contact information for 3 references (will only be contacted after initial meeting with applicant)

Applications will be considered on a rolling basis and should be submitted as soon as possible.

We study transmission dynamics using a combination of theoretical and empirical approaches to improve global health.

Projects

Latest @JHIDDynamics

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We study transmission dynamics using a combination of theoretical and empirical approaches to improve global health.

Projects

Latest @JHIDDynamics

Postdoctoral Position: Mathematical modeling of infectious disease dynamics and evolution; including HIV, COVID-19, and drug resistance