Skip to content
View hannahcorreia's full-sized avatar

Block or report hannahcorreia

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
hannahcorreia/README.md

Hi there πŸ‘‹

I am a Postdoctoral Fellow at the Johns Hopkins Whiting School of Engineering working with Dr. Paul Ferraro. From 2019 to 2022, I was a Harvard Data Science Initiative Postdoctoral Fellow based at the Harvard TH Chan School of Public Health. I earned a PhD in Biology and MS in Statistics from Auburn University. My research interests broadly cover the area of statistical methodology and applications in ecology, particularly developing new techniques to quantify climate change effects on populations and identifying causation in ecological data. I also aim to improve statistical methods for high-dimensional and spatio-temporal data.

Website GoogleScholar ResearchGate ORCID

  • πŸ”­ I’m currently working on effects of causal inference methods for ecology, interpretable ML methods for understanding HIV/AIDS-related stigma dynamics in Kenya, and modeling multiple paternity in animals.
  • 🌱 I’m currently learning the NIMBLE environment for R for MCMC.
  • πŸ’¬ Ask me about ML methods for causal inference, interpretable and explainable ML, and spatio-temporal statistical methods.
  • πŸ‘©β€πŸ’» Languages I use: R Python RStudio JavaScript Earth Engine JAGS Stan LaTeX markdown Bash HTML CSS C++
  • πŸ˜„ Pronouns: she/her/hers
  • ⚑ Fun fact: I lived in the Arctic Circle for 6 months to do research and spent time in Svalbard. Listen to The White Vault for a more chilling (and fictional) version of research in Svalbard!

Peer-Reviewed Journal Articles with Code

Dobson, F. S., Correia, H. E., Abebe, A. (2024) How much multiple paternity should we expect? A study of birds and contrast with mammals. Ecology & Evolution. 14(e11054).
DOI:10.1002/ece3.11054 hannahcorreia - phylo-multiple-paternity

Correia, H. E., Tveraa, T., Stien, A., & Yoccoz, N.J. (2022) Nonlinear spatial and temporal decomposition provides insight for climate change effects on sub-Arctic herbivore populations. Oecologia.
DOI:10.1007/s00442-022-05150-7 hannahcorreia - reindeer-decomp

Correia, H. E., Abebe, A., & Dobson, F. S. (2021) Multiple paternity and the number of offspring: A model reveals two major groups of species. BioEssays. 43(4).
DOI:10.1002/bies.202000247 hannahcorreia - multiple-paternity

Abebe, A., Correia, H. E., & Dobson, F. S. (2019) Estimating a key parameter of mammalian mating systems: the chance of siring success for a mated male. BioEssays. 41(12).
DOI:10.1002/bies.201900016 hannahcorreia - multiple-paternity

Dobson, F. S., Abebe, A., Correia, H. E., Kasumo, C., & Zinner, B. (2018) Multiple paternity and number of offspring in mammals. Proceedings of the Royal Society B: Biological Sciences. 285(1891).
DOI:10.1098/rspb.2018.2042 hannahcorreia - multiple-paternity DOI:10.5061/dryad.d6kj502

Correia, H. E. (2018) Spatiotemporally explicit model averaging for forecasting of Alaskan groundfish catch. Ecology & Evolution. 8(24):12308–12321.
DOI:10.1002/ece3.4488 hannahcorreia - STEMA

Pinned Loading

  1. phylo-multiple-paternity phylo-multiple-paternity Public

    Phylogenetic mixed model analyses of multiple paternity in animals

    R

  2. reindeer-decomp reindeer-decomp Public

    Replication Code for: Nonlinear spatial and temporal decomposition provides insight for climate change effects on sub-Arctic herbivore populations

    R

  3. multiple-paternity multiple-paternity Public

    Code and data for Bayesian MCMC analyses of multiple paternity in viviparous animals

    R

  4. STEMA STEMA Public

    Code and data for https://doi.org/10.1002/ece3.4488

    R