What are the olive green and opaque grains in ppl? I had to describe a thin section similar to this in an exam a while back, I could make out the clinopyroxene and plagioclase, but guessed the black was magnetite and the olive green might be alkaline clinopyroxene.

Haha. Well if you’re ever in London or Cardiff I’d sit through a match with you, though as a pre-IPO alumnus you might be disappointed not to be in a box.

I have some notion you’re from the West Midlands, so should have an insurmountable bullshit detection mechanism?

I am indeed based in the UK. I don’t think I know the kotlin standard library well enough to make serious proposals about changing it, though the job description does look very exciting.

Sharing benchmark results is definitely an unsolved problem; “reproducible benchmarks as a service” does not exist either and should because people struggle to provision adequate benchmark environments. I just wonder what the TAM is for something like that though, small enough to preclude existence?

I don’t tinker much these days and haven’t solved a hard algorithmic problem in a long time. I see people working on databases (which surface lots of interesting problems) but honestly think *most* data sets belong in Postgres.

My personal technology consumption comes in two guises: I use apps to consume information or communicate, and I use python for data analysis on a regular basis. I generate the bulk of my python code these days, before cosmetic refactoring.

I was going to say too bad the locations are so restrictive, but my kids are half Serbian but don’t speak the language, we were considering moving somewhere in the balkans for a while to help them learn, which would have meant a sabbatical for me. Maybe I should move and put in an application? 🤔

Why it had to go
I don’t know, the logs didn’t say
Something went wrong
Now I long for yesterday

What sort of mathematical techniques are you using for the modelling? PDEs? (Presumably non-stationary) stochastic processes?

My issue was with the tracing paper rather than stereographic projection. I would have been more engaged if this had been computer based, and we’d needed to think about how to actually compute a best fit curve for a fold rather than do it by eye, but that’s just the sort of teenager I was.

I was generally interested in geology, but I found course content like using stereonets (on tracing paper!!!) for structural geology incredibly frustrating when I really just wanted to find out how much calculus/algebra/whatever I could do at that time.

I had the impression (as a stupid 18 year old) that if I really wanted to be a geophysicist one day, I could do that with a maths or physics degree (I didn’t), but the reverse wasn’t true and I felt it would be treated with suspicion in careers which required generic quantitative skills.

I started a geophysics degree about 20 years ago but switched to maths. I felt the degree was too specific. Less geology than a geology degree, a much lower standard of physics than a physics degree, not as quantitative as I’d been led to believe (this was important to me).

I’m curious what kind of mathematical techniques you use for earthquake forecasting. My first degree was in maths but I’m taking a part time degree in geology as a kind of hobby, something in this area might make an interesting project.

It only tracks that for similar runs, so if you run a particular route frequently it’ll give it to you under matched runs, e.g.

This would be really helpful especially when you’re trying to vary one of the parameters by more than an order of magnitude to plot line charts