Richard Strange

47 Followers
109 Following
21 Posts
AI, Volcanoes, Agritech and Data Strategy. I know, I'm confused by the combination too.
Working with the lovely people at https://fdl.ai
šŸ“Oxford, ricocheting through a DPhil (PhD)
LocationOxford, UK
Depthttps://www.earth.ox.ac.uk/people/richard-strange/

Folks - even if your primary motivation is research I'm begging you to spend time structuring your code beyond a notebook. I'm talking modularity, tests, docs, etc.

It will feel square peg -> round hole to start but once you find that new groove it will actually help make your work even more relevant which is what almost all of us are after anyway.

"I hope this email finds you well"

How your email finds me:

RT @[email protected]

40 fully funded PhD scholarships available at @[email protected] for students from any country via the new Research Excellence Scholarship scheme https://www.ucl.ac.uk/scholarships/research-excellence-scholarship Deadline Jan 13th. @[email protected] @[email protected] @[email protected] #phdchat

šŸ¦šŸ”—: https://twitter.com/MatToddChem/status/1590069392208850944

Research Excellence Scholarship

UCL’s Research Excellence Scholarship (UCL-RES) is our new prestigious scholarship which aims to attract outstanding scholars to undertake doctoral research at UCL.

UCL Scholarships and funding

I wish I had discovered the nb_conda_kernels library for managing conda kernels in Jupyter sooner. That being said, I wonder if there is a less clunky solution for automatically finding, adding, and removing kernels for the Jupyter interface?

#Jupyter #Python #DataScience #Kernel

Mastodon habits I'm trying to lock in, rather than revert to my Twitter habits:

1) use CWs liberally
2) when threading, set first post to "public" and the rest to "not listed"
3) don't forget the description text when posting images (had to work on that in Twitter too)
4) throw in hashtags like it was Tumblr or Instagram when you want to reach beyond your followers
5) pin and visit hashtags to find more people
6) boost a lot

I think I broke the thread :-(

It carries on here: https://mastodon.online/@duncanwp/109308827893221490

Duncan Watson-Parris (@[email protected])

A key aspect with this approach is that we’re also able to take into account the spatial distribution of aerosol emissions, which can make a crucial difference c.f. https://www.nature.com/articles/s41558-022-01415-4

Mastodon

Rude of me not to introduce myself!

I'm a #climate scientist at the University of #Oxford trying to better understand the role of #aerosol, in particular through their interaction with #clouds. I'm increasingly using #machinelearning to help emulate and interpret the huge amount of #satellite and #model data we have.

Perhaps also relevant: #emissions #uncertainty #feedbacks, and occasionally #photography šŸ™‚ Feel free to reach out!

Seems like there is a memory leak issue with Python 3.11 (cpython).

#python311 #python

https://github.com/python/cpython/issues/99205

creating new threads appears to leak memory rapidly in Python 3.11 / linux Ā· Issue #99205 Ā· python/cpython

The following test program gains about 10M per second under top, on Python 3.11 only (confirmed for all development stages: 3.11.0a4, 3.11.0b1, 3.11.0rc1, 3.11.0) . 3.10 shows no memory growth. fro...

GitHub

Hello world! #introduction

I’m Richard, and I’m currently a PhD researcher at #Oxford applying #AI and #MachineLearning to #Volcanology and #Seismology . A ā€œdata first, analytics secondā€ advocate, I’m also a #DataVault2.0 Practitioner and speaker, occasional data consultant and ex #Agritech CTO. Always keen to chat ML, Data Strategy, Volcanoes or anything exciting in the Applied ML world.

You can find me knee deep in #Python, #PyTorch, a few flavours of #SQL, #Snowflake and #GCP