OVERVIEW

  • COVID-19 is a contagious respiratory disease that is known to spread rapidly through person-to- person contact.

  • As organizations, cities, and municipalities reopen, they will need data on the adherence to physical distancing to inform programs and policies to stop the spread of COVID-19.
 
  • Poirot collects information about individuals’ physical interactions in a privacy-preserving manner using secure multiparty computation and differential privacy to provide actionable information to decision-makers and the individuals themselves.
 
  • To ensure privacy, Poirot only displays aggregate statistics collected about the contact events to decision-makers and this information cannot be linked back to any individual.

TEAM

Our team consists of a group of researchers at Duke University from the Computer Science Department and the Department of Family Medicine and Community Health and Duke Global Health Institute. It is also advised by an expert panel in global health.

LEADERSHIP TEAM

Applied cryptography, Blockchains

Mobile systems and security

Privacy in statistical databases

Digital health intervention development and evaluation

Data-intensive systems and scalable data analytics

EXPERT COLLABORATORS

Infectious disease clinician and global health researcher

Pediatric infectious diseases clinician, epidemiologist, vaccinologist, and global health researcher

Health services researcher, epidemiologist, and global health researcher

Infectious disease clinician,  epidemiologist, and global health researcher

POSTDOCS AND STUDENTS

Yanping
Zhang

Privacy and Security

Johes
Bater

Privacy and secure computation for databases

Chenghong
Wang

Privacy and applied cryptography

David
Pujol

Fairness in differential privacy

Vandan
Mehta

iOS Development,
Distance estimation

Haotian
Wang

iOS Development

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Saloni
Bulchandani

Web Development

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Jaidha
Rosenblatt

Web Development