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Hi there! 👋 My name is Denisse Fierro Arcos 🤓🐱‍👤


I am a marine scientist from Ecuador living in Hobart/lutruwita, Australia. I am completing a PhD on a part-time basis at the Institute for Marine and Antarctic Studies. My project focuses on assessing the suitability of using a high resolution sea ice-ocean coupled model (ACCESS-OM2-01) to study the impacts of climate change on Southern Ocean ecosystems 🐧🐳 I work part-time as a Research Assistant for the Fisheries and Marine Ecosystem Model Intercomparison Project (Fish-MIP) where I work largely as a scientific software engineering. I also work with the Reef 2050 Integrated Monitoring and Reporting Program Data Management System (RIMReP DMS) project at Integrated Marine Observing System (IMOS) on a casual basis, largely developing sample scripts and delivering training about how to access datasets hosted in the DMS and perform simple data analysis. Previously, I worked as a shark researcher in the the Galapagos 🦈🐠, as a environmental consultant in Perth, as a programming trainer, and as an freelance data scientist. Over the years, I have been involved in a few publications and you can find them here.

I am a Python and R progammer and I really enjoying writing scripts and help others develop their own. I am often involved in the organisation and delivery of workshops and hackathons in Australia and Latin America. I am involved with the R-Ladies, Datatas, OceanHackWeek and I am a certified Carpentries instructor.


Who am I?

  • 🔭 I’m currently working on my PhD studying the effects of climate change on Southern Ocean ecosystems using a high-resolution ocean-sea ice model.
  • 🌐 I work as a Research Assistant for the [Fisheries and Marine Ecosystem Model Intercomparison Project (Fish-MIP), which seeks to understand the impacts of a changing climate on fisheries and marine ecosystems globally.
  • 🐟 I also develop tools for the Fish-MIP to facilitate access to ISIMIP data.
  • 🌱 I’m currently learning about species distribution models in R.
  • 🤓 I have recently started reviewing code for rOpenSci.
  • 👯 I’m looking to collaborate on projects studying the effect of climate change on ecosystems (if sharks 🦈 are involved even better). I am also interested in working in any projects related to open science, particularly if directed to Spanish speakers.
  • 💬 Ask me about how to make nice plots with ggplot2 (this is by far my favorite package), or how to find environmental data (observations or models) for ecological research.
  • 📖 If you are interested in reading any of my publications and you cannot access them, contact me and I will be more than happy to share them.
  • 📫 How to reach me: email.
  • 😄 Pronouns: she/her
  • ⚡ Fun facts: I am a massive dog lover ❤🐕 and I am competent at many sports (running, swimming, cycling, climbing, free- and scuba-diving, kayaking, boxing), but I do not excel at any of them 😅

También hablo español, así que si quieren colaborar o tienen preguntas sobre mi trabajo, no duden en escribirme

Lidefi87's Projects

access-om2-01_ecologicallyrelevantvariables icon access-om2-01_ecologicallyrelevantvariables

This repository contains all material necessary to reproduce the figures and summary statistics presented in the publication Analysis of ecologically relevant sea ice and ocean variables for the Southern Ocean using a high-resolution model to inform ecosystem studies.

cosima-recipes icon cosima-recipes

Example recipes for analyzing model output using the cosima-cookbook infrastructure

fcd_r_code icon fcd_r_code

Code created for the CDF's Shark Ecology Project

ohw21-proj-cmip-ard icon ohw21-proj-cmip-ard

Repository to support the 2021 OceanHackweek project CMIP analysis ready data (ARD) workflow: turning big climate projection data into useful inputs for modelling or analysis

rimrep-examples icon rimrep-examples

A repository to contain example notebooks and documentation for the RIMReP project

sdmtune icon sdmtune

Performs Variables selection and model tuning for Species Distribution Models (SDMs). It provides also several utilities to display results.

see_tallerr-desde-0 icon see_tallerr-desde-0

Contenido para el taller de R para principiantes organizado por la Sociedad Ecuatoriana de Estadística para celebrar el Día de la Cultura Estadística

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