Yue Qin

@RoyalMailHelp i have dm you but haven't got your response

@RoyalMailHelp When will i get a response?@RoyalMailHelp

@RoyalMailHelp @RoyalMailHelp

Waited in today for a delivery from @RoyalMail because I knew it wouldn’t fit the letterbox. Between 11:15 and 15:15 they said. Fucking 15:50 get an email “sorry we couldn’t deliver”. You had all fucking day! Who are you fucking Evri?!?

Read this paper to know how to 'actually' read a paper! I've highlighted the key points -> now this 10 min read of 3-pass apprach will change your paper reading technique for good! 𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀: — First Pass (5-10 minutes) Quick scan for bird's-eye view — Second Pass (up to 1 hour) Read with greater care —>> Third Pass below ⬇️ 💬 𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗿𝗲𝗮𝗱𝗶𝗻𝗴 𝗽𝗮𝗽𝗲𝗿𝘀? 1/2

here's the article: medium.com/data-science-a…

ML weather models like GraphCast & NeuralGCM show promise in weather forecasting, but can they be used for data assimilation? Our study looks into their tangent linear & adjoint models, finding challenges in robustness & unphysical noise. 🌦️ #AI #NWP arxiv.org/abs/2411.14677

Finding relevant papers for literature review takes a lot of time. So, MIT researchers built Undermind, an AI-powered search engine. It can generate well-researched overviews on any topic and is 10-50 times better than Google Scholar. Here's how to use it:

Many students have trouble understanding #Bayesian #MachineLearning, to help them I coded up Bayesian linear regression with MCMC to sample the posterior from scratch. Then I built out this interactive #Python dashboard with @matplotlib. Vary the number of MCMC samples and watch the transition from burn-in to equilibrium chain. Try it out on #GitHub @ github.com/GeostatsGuy/Da… ∀.

For those chasing down this rabbithole, I wrote a 'learn JAX as a PyTorch developer' guide a while ago: kidger.site/thoughts/torch… If that's helpful :)

Limitation of Google Scholar: You can only look up articles with keywords. It doesn't work if you paste a sentence or a paragraph. Sourcely is an AI-powered app that lets you look up papers using whole paragraphs. Here's how to use it:

💫Fellow scientific computing geeks, here is an example of adaptive mesh refinement in #JAX: gist.github.com/patrick-kidger… I recently heard a claim that this was impossible in JAX due to its lack of dynamic shapes, and decided to prove the naysayers wrong 😄

Looking for a stats or applied maths PhD? There are 2 great PhD programmes at Imperial that are currently welcoming applications: "Mathematics for our Future Climate" and "Statistics and Machine Learning." Find out more here!... mfccdt.ac.uk/recruitment-pa… statml.io/index.php/how-…

> Linear Algebra by Prof Gilbert Strang > Probability Theory Prof John Tsitsiklis > Information Theory by David Mackay > Optimization theory by Stanford University > Machine learning by Andrew NG(Stanford course) This is all you need to master ML. Coursework + assignments + course projects and you’ll be better than most people at ML.

As we're heading into PhD application season, I wrote a post with advice for applying to grad school, drawing from my experience on admissions committees. Please share with any aspiring PhD students that you know! brains-explained.com/advice-for-app…

I'm starting a lecture series on partial differential equations which will run over the next few months. Join me! youtube.com/watch?v=YcG1NY…

Good news: I got my first certificate of reviewing!😆 Bad news: I rejected that manuscript.😅

#OceanOpportunities 25 PhD positions at the Alfred Wegener Institute nf-pogo-alumni.org/opportunities/…

We just released our ETH Zürich AI in the Sciences and Engineering Master’s course on YouTube! 📚 Prof. Siddhartha Mishra and I explain PINNs, neural operators, foundation models, neural PDEs, diffusion models, symbolic regression, and more! #AI4Science youtube.com/watch?v=LkKvhv…

Teaching Neural Network to Solve Navier-Stokes Equations Demonstrating the process of building a physics informed neural network (PINN) to predict the behaviour of vortex shedding using the Navier-Stokes equations. 🌎 Github: github.com/ComputationalD… More Resources👇