Astronomy PhD student
LLM-based programming is tempting for science because people mostly want to spend their time thinking about the problem they’re interested in, rather than writing code. This isn’t helped by the narrative that LLMs have become so good at programming that you don’t even need to think about code any more. Here’s a post from Andrej Karpathy, one of the big names in AI, that I’ve thought about almost…
I’ve been playing Celeste, a video game about climbing a mountain, for about two years now. I’ve never been that good at things that need precise hand-eye coordination or strong reflexes; as a kid I liked turn-based games like Pokémon in part because they didn’t need me to press buttons at specific times, just whenever I was ready. But Celeste’s gameplay loop – making you die when it’s warranted,…
For some convoluted setup reason I can’t remember now, when I started running the MESA (Modules for Experiments in Stellar Astrophysics) stellar evolution package for my Stellar Structure and Evolution class in Winter 2023, I couldn’t get the live-plotting output I was supposed to be able to see. MESA writes its output into data files I was going to have to figure out how to read anyway to do the…
Discussion 2 Worksheet: Inverse-Square Law
I’ve spent the last few weeks writing my first ever fellowship proposal, which has been an interesting new kind of writing for me! One of the aspects of writing persuasively about my science was planning out the figures - I found myself thinking about the points that my diagrams made in the overall argument a lot more than I would have otherwise.
The source code for this project is here. This is the second in a series of posts where I unpack how I do something computational piece by piece; check out the first post here.
I like solving Sudokus, but I’m not that great at them - my strategy mostly involves the following steps:
CircuitModels.jl Circuit modeling and DAE setup in Julia. This code is largely based on the MAPP prototyping platform and the MNA equation engine written by Prof. Jaijeet Roychowdhury’s group. This package was originally written as a final project for EECS 219A at UC Berkeley in Spring 2021.
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