tmoot

6 ms·

1.
by tmoot 6y ago
My advisor made the exact same point. Although we did receive funding from startups to work on adjacent problems.
2.
by tmoot 7y ago
Physicist here. Since you probably have a good background in optimization, work through problems in: - Taylor for Classical Mechanics or Goldstein (a bit more advanced) - Griffiths for E/M and Quantum. For stat. mech. I find the chemis
3.
by tmoot 7y ago
That's how I learned; on a good ol'fashion gentoo box. learned so much about os stuff and kernel drivers, etc... It was like diving in the deep end of a pool though.
4.
by tmoot 7y ago
I'm happy you posted this.
5.
by tmoot 7y ago
Typically the university pays professors salary and gives you a startup fund. Professors have to bring in grant money to fund students, build a lab, travel to conferences to advertise the work, etc. Plus the university gets a little slice o
6.
by tmoot 7y ago
This is not my experience with the newer generation of professors in STEM. Writing that paper means making getting funding and that means networking (giving talks, creating/maintaining collaborations), participating in inter/intra
7.
by tmoot 7y ago
Hahaha, some of the people I considered the most academic in my physics cohort are going consulting. After 5-6 years of making 25k per year and working long hours (which is not bad given the cost-of-living where I was in grad school is low)
8.
by tmoot 7y ago
Most of my cohort are now data scientists or ML/AI engineers. Honestly, the trend I seeing is that weaker students -ie can't find data science or consulting jobs- move on to post-docs. Although, there are the dedicated few academi
9.
by tmoot 7y ago
This is a good point. There are too many confounding factors. I recently finished my PhD and reflecting back, it was hard and a lot of work, certainly not what I imagined as an undergrad. I worked most weekends and holidays and have a few p
10.
by tmoot 7y ago
Well, there goes my weekend :)
11.
by tmoot 7y ago
Your comment made my day :)
12.
by tmoot 7y ago
This hits close to home.
13.
by tmoot 7y ago
What, you don't want to be a 10th year grad student then post-doc till your mid-to-late 30's? Also, to be honest, those problems are kind of boring. :) -- phd in physics.
14.
by tmoot 8y ago
It's too bad we lost blue waters.
15.
by tmoot 9y ago
ejmr is the anon job board/shitposting for economists heavier on the shitposting though.
16.
by tmoot 9y ago
I feel totally undervalued financially and intellectually in acadamia. I'm was considering calling this a sunk cost and moving on but based on the comments here, I think I'll stick it out and try to develop on the side. This is th
17.
by tmoot 9y ago
I'm a frustrated grad student in STEM. I posted here a few days ago crowdsourcing for career advice on what to do next: https://news.ycombinator.com/item?id=15610675 Thanks.
18.
by tmoot 9y ago
I'd wish I had read this in 2006. I didn't know PG had this repo of great articles.
19.
by tmoot 9y ago
Good point about waking up early and working. That's what I'm doing now with my coursework. I also do research during weekends, but I've been experimenting with taking one day off to try to explore other things and spend time
20.
by tmoot 9y ago
Thanks for the response. One of the main reasons I'm unhappy with my work is I do the bare minimum to publish and submit. So far I've published 3 first author papers and somehow they've gotten into decent journals for my fiel
21.
by tmoot 9y ago
Good point. I'm lacking in the side projects area since I've dedicated most my effort to my phd which really just amounts to data analysis scripts. I did take quite a bit of cs courses (almost close to a second major) as a undergr
22.
by tmoot 9y ago
Honestly, I've been way to risk averse in life. It's part of the reason I stayed in academia.
23.
Ask HN: How do you moonlight (and career advice)?
17 points by tmoot 9y ago|27 comments
24.
by tmoot 9y ago
Startup. :)
25.
by tmoot 9y ago
really quickly: matrix inversion is ~O(n^3) gradient descent is ~O(np) where p is the number of predictors and n are the observations (n x p matrix). for lasso, calculating that derivative of the multiplier is not possible (for all points),
26.
by tmoot 9y ago
Hahahaha, funny seeing this here. I took this course at UIUC about 6 years ago taught by Stone.
27.
by tmoot 10y ago
I didn't read the paper but it's in scientific reports (minimal and rushed peer review, bottom of the barrel nature subjournal)...I'd be a bit skeptical. It's not exactly anyone's first choice place to publish. Cris
28.
by tmoot 10y ago
It seems like publishing standards have really sank.
29.
by tmoot 10y ago
I'm a physics phd student, but I did my undergrad in cs+physics at well known school in the midwest. I really regret going to grad school for physics, I gave up a lot of earning potential, time to develop new skills and I've forgo
30.
by tmoot 10y ago
so just Matt Might's article. great. :|

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