Public Health Informatics Fellowship Program

Public Health Informatics Fellowship Program

Category : Alumni

The Public Health Informatics Fellowship Program (PHIFP) provides on-the-job training for professionals to apply expertise in information science, computer science, and information technology to address current and future informatics needs. While working in CDC programs to enhance our agencyโ€™s informatics workforce, fellows help state and local health departments and international public health agencies solve complex public health informatics challenges.

Applications for the PHIPF class of 2022 close December 1, 2021.

Click here to learn more and apply.


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Upcoming Events

  • 2024 Charles C. Shepard Award Symposium May 8, 2024 at 12:00 pm – 1:15 pm zoom.us… Online Location: https://zoom.us/j/96537866614The Charles C. Shepard Award is given to thegraduating masters student who is deemed bythe faculty to have prepared the most scholarlyresearch paper. Please join us to recognize andcelebrate this year’s finalists who will present aposter of their work.
  • RSPH Staff Council Presents: Cheers and Beers - Schoolhouse Edition May 16, 2024 at 5:00 pm – 8:00 pm Networking and Special Event Event Type: Networking,Special EventContact Name: Staff CouncilContact Email: rsphstaffcouncil@emory.eduRSPH staff and post-docs are invited to an evening of camaraderie and delicious bites, presented by the RSPH Staff Council. Space is limited. Watch your email for a link to RSVP.
  • The Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID) July 15, 2024 – July 31, 2024 Conference / Symposium Event Type: Conference / SymposiumSeries: The Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID)Speaker: Leaders in the FieldContact Name: Pia ValerianoContact Email: pvaleri@emory.eduLink: https://sph.emory.edu/SISMID/index.htmlThe Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID) is designed to introduce infectious disease researchers to modern methods of statistical analysis and mathematical modeling.

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