Skip to content
View philpatton's full-sized avatar

Highlights

  • Pro

Block or report philpatton

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
philpatton/README.md

My name is Philip T. Patton (Phil, @philpatton). Iʻm a graduate research assistant with at the Marine Mammal Research Program at the University of Hawaiʻi at Mānoa. Also, I'm a NOAA QUEST Fellow, meaning that also work with the Cetacean Research Program at the Pacific Islands Fisheries Science Center.

Currently, I research ways to improve population assessments of toothed whales that live in the Main Hawaiian Islands. This includes automating photo-identification of these animals, understanding how these automated tools interact with capture-recapture models, and estimating demographic parameters using cutting edge methods in capture recapture.

I did my master's research with Krishna Pacifici at North Carolina State University, where I studied ways to improve estimates of species distribution, aka where we find species, particularly when species interact and when the data contains sampling errors. The cowbird repository shows one way to analyze these data when species interact.

Please feel free to email me, [email protected], if you would like to get in touch.

Thanks for looking!

Popular repositories Loading

  1. cowbird cowbird Public

    Functions to reproduce analysis in Patton et al (2022)

    R

  2. philpatton philpatton Public

    Config files for my GitHub profile.

  3. autocapture autocapture Public

    Python 1

  4. multispecies-photoid multispecies-photoid Public

    Forked from knshnb/kaggle-happywhale-1st-place

    Fork of the winning solution by knshnb and tyamaguchi17, described in Patton et al., (2023), to be archived at Zenodo

    Python

  5. charmq charmq Public

    Forked from tyamaguchi17/kaggle-happywhale-1st-place-solution-charmq

    1st place solution source code of Kaggle Happy Whale competition

    Python

  6. philpatton.github.io philpatton.github.io Public

    Jupyter Notebook