Juniper Tyree

Juniper Tyree

they/she

PhD Student at the University of Helsinki. MSc from UH, MEng from Imperial College London.

Climate computing, data compression, computational ecology, open science and software.

Rust, Python, and WebAssembly open-source developer, vegan, climate conscious.

*368ppm.

Sitemap

A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Prudent Response Surface Models: Exploring a Framework for Approximating Simulations with Confidence and Certainty

Published in University of Helsinki, 2023

The Icarus Response Surface Model architecture combines an out-of-distribution detector, a prediction model, and an uncertainty quantifier.

Recommended citation: Tyree, J. (2023) Prudent Response Surface Models: Exploring a Framework for Approximating Simulations with Confidence and Certainty. Master’s Thesis. Available from: URN:NBN:fi:hulib-202305151941.
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χiplot: Web-First Visualisation Platform for Multidimensional Data

Published in Lecture Notes in Computer Science, 2023

χiplot is an HTML5-based system for interactive exploration of data and machine learning models.

Recommended citation: Tanaka, A., Tyree, J., Björklund, A., Mäkelä, J., and Puolamäki, K. (2023) χiplot: Web-First Visualisation Platform for Multidimensional Data. In: De Francisci Morales, G., Perlich, C., Ruchansky, N., Kourtellis, N., Baralis, E., Bonchi, F. (eds) Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track. ECML PKDD 2023. Lecture Notes in Computer Science, 14175. Available from: doi:10.1007/978-3-031-43430-3_26.
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ESiWACE3 Deliverable D3.3 - Report on the online version of the data sets

Published in Zenodo, 2024

This deliverable documents the development of an Online Laboratory for Data Compression in Climate Science and Meteorology and the publication of the data compression datasets that allow the testing of various compression methods for output of both weather and climate models.

Recommended citation: Faghih-Naini, S., Tyree, J., Yepes-Arbós, X., Peters-von Gehlen, K., Dueben, P., Järvinen, H. J. (2024) ESiWACE3 Deliverable D3.3 - Report on the online version of the data sets. Available from: doi:10.5281/zenodo.14622238.
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talks

teaching

2019 PPT Undergraduate Teaching Assistant

Undergraduate course, Imperial College London, Department of Computing, 2019

  • 2019/10 - 2020/03
  • Weekly tutoring a group of eight first-year Joint-Maths-and-Computing students
  • Grading and giving feedback on their Haskell and Java computing lab exercises
  • Responsible Teacher: Dr Marek Rei

2023 Sustainable.now Teaching Assistant

Undergraduate course, University of Helsinki, Institute for Atmospheric and Earth System Research, 2023

  • 2023/09 - 2023/10
  • Weekly feedback on the learning diaries of the >30 students
  • Assist in supervising the group projects
  • Responsible Teachers:
    • Dr Bernhard R. Reischl, University of Helsinki
    • Joula O. Siponen, University of Helsinki
    • Dr Janne J. Salovaara, University of Helsinki
    • Dr Ivo Neefjes, University of Helsinki
    • Dr Ásványi Katalin, Corvinus University of Budapest

2024 Numerical Meteorology I Teaching Assistant

Graduate course, University of Helsinki, Institute for Atmospheric and Earth System Research, 2024

  • 2024/01 - 2024/03
  • Weekly exercise sessions
  • Grading and feedback for the exercises
  • Helped prepare and supervise the exam
  • Responsible Teachers:
    • Dr Madeleine Ekblom, University of Helsinki
    • Prof. Heikki J. Järvinen, University of Helsinki

2025 Numerical Meteorology I Co-Teacher

Graduate course, University of Helsinki, Institute for Atmospheric and Earth System Research, 2025

  • 2025/01 - 2025/03
  • Presented two lectures, on sustainable scientific model software development and boundary conditions in the shallow water model
  • Developed new grading rubrics and hints for the exercises
  • Weekly exercise sessions
  • Grading and feedback for the exercises
  • Prepared, supervised, and graded the exam
  • Responsible Teachers:
    • Prof. Heikki J. Järvinen, University of Helsinki
    • Juniper Tyree, University of Helsinki

2025 Numerical Meteorology II Teaching Assistant

Graduate course, University of Helsinki, Institute for Atmospheric and Earth System Research, 2025

  • 2025/03 - 2025/05
  • Weekly exercise sessions
  • Grading and feedback for the exercises
  • Responsible Teachers:
    • Prof. Heikki J. Järvinen, University of Helsinki