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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.

• 🔭 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.
• 💬 Ask me about ML methods for causal inference, interpretable and explainable ML, and spatio-temporal statistical methods.
• 👩‍💻 Languages I use:
• 😄 Pronouns: she/her/hers
• ⚡ Fun fact: 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!

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.

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).

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).

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).

Correia, H. E. (2018) Spatiotemporally explicit model averaging for forecasting of Alaskan groundfish catch. Ecology & Evolution. 8(24):12308–12321.