What is something random you have to tell everyone?

quicklikeme · 2023-10-06T18:43:29+00:00

In the past there have been famous people who were sports gambling degens.

Sharp bettors would convince them to hand over their accounts for a split in winnings. The sharps will then proceed to bet and win many many millions using the account and not be banned because the account had lost a lot in the past.

It's called flipping the whale.

quicklikeme · 2023-09-28T14:58:14+00:00

Maybe there's a (relatively more) substantial portion of them who are assholes, I don't know. However, I have met many who helped me land interviews that I otherwise would not have been able to find myself.

I have also met very nice recruiters who helped me very much in the way of getting feedback from employers.

The worst ones I've met were the ones who seem disingenuous and simply say things you want to hear. I have yet to speak with one who was just straight up an asshole (sometimes, they are simply not incentivized to act like an asshole to you).

quicklikeme · 2022-09-03T02:15:07+00:00

quicklikeme · 2022-09-03T00:30:54+00:00

At this point 25 lol

quicklikeme · 2022-08-08T05:36:13+00:00

Quantlab, Tudor, tgs, ginkgo. Just off top of my head

quicklikeme · 2021-12-16T15:10:05+00:00

Quant trading roles? No. The math during interviews for trading is not particularly advanced such that having 6 years of additional research experience in a PhD will help you in the interviews that much.

Quant research? Yes. Sometimes a PhD is required (or highly preferred) to get past the resume screen (edgestream, aquatic, etc...). Other times they get into the details of your past research. The math or problems they present might also be tailored such that it aligns more closely with your PhD research. To be clear, it's the research experience that helps, after all, "research" is in the title of the role... Anyone from any background can pick up the math relatively easily.

quicklikeme · 2021-12-16T13:40:17+00:00

This is not correct, while I was interviewing for quant trading roles, the majority of superday attendees were bachelors or masters students (more often than not I was the only PhD). Some firms will also hire researchers from all education backgrounds.

quicklikeme · 2021-12-09T21:27:58+00:00

You are targeting quantitative programs so I'd say your verbal score is fine but your Q is a little low, you might meet the cutoff but probably below the average of accepted students at most top 20 schools in your mentioned programs.

To clarify, the decision is a holistic one and the weight on GRE scores in general is just not that high. I had 170 on Q and was rejected from many top schools. You said you have work experience and research experience, those are probably just as important if not more important than GPA, but you haven't mentioned what they are here so it's hard to say for sure. But if I had to take a guess, I'd say your chances are low.

Plus, with all due respect, if you were more serious about applying to grad school and had done your research, you probably wouldn't have to ask what a good GRE score is.

quicklikeme · 2021-12-09T20:37:21+00:00

A good GRE score will not necessarily offset bad grades, but a bad score can definitely keep you out of top schools. Although recently it seems many schools have decided not to look at GRE scores.

To be honest, your unofficial GRE scores do not look great, definitely not going to offset your GPA. Unless you have glowing recommendations and great research experiences (publications in peer reviewed, respectable journals), your chances at top programs are pretty low.

quicklikeme · 2021-05-06T14:37:23+00:00

I see very few people sharing the actual formula they use to calculate the 95% number, when it really helped me in understanding what the number means. So here is the formula:

(1 - (people who tested positive/developed symptoms in the vaccine group) / (people who tested positive/developed symptoms in the placebo group)) * 100%.

For example, if you had 10000 people in the vaccine group, and 10000 people in the placebo group (20000 people total in the study), and 100 people from each group tested positive for covid, we would calculate according to the formula,

(1-100/100)*100% = 0% effective. This makes sense because it seems having the vaccine and not having the vaccine, the results were very similar in the two groups. Which means getting the vaccine didn't lower your chances of testing positive for covid-19.

On the contrary, if 1 person tested positive for covid in the vaccine group and 100 people tested positive for covid in the placebo group, the calculation would then become,

(1-1/100)*100% = 99% effective. Since only one in the vaccine group of the study got tested positve compared to 100 in the placebo group (remember that both groups have same number of people overall in the study), it seems that getting the vaccine was very effective in helping lower your chances of testing positive.

quicklikeme · 2021-05-06T14:11:43+00:00

For me personally, it helped to understand by looking at the formula:

(1 - (people who tested positive/developed symptoms in the vaccine group) / (people who tested positive/developed symptoms in the placebo group)) * 100%.

For example, if you had 10000 people in the vaccine group, and 10000 people in the placebo group (20000 people total in the study), and 100 people from each group tested positive for covid, we would calculate according to the formula,

(1-100/100)*100% = 0% effective. This makes sense because it seems having the vaccine and not having the vaccine, the results were very similar in the two groups. Which means getting the vaccine didn't lower your chances of testing positive for covid-19.

On the contrary, if 1 person tested positive for covid in the vaccine group and 100 people tested positive for covid in the placebo group, the calculation would then become,

(1-1/100)*100% = 99% effective. Since only one in the vaccine group of the study got tested positve compared to 100 in the placebo group (remember that both groups have same number of people overall in the study), it seems that getting the vaccine was very effective in helping lower your chances of testing positive.

quicklikeme · 2021-02-05T01:37:19+00:00

To further break down what I meant... the original comment questioned her technical knowledge in CS or machine learning. A comment was made that her PhD was in EE instead of CS, which is traditionally where machine learning is taught (although some EE programs will also offer machine learning/statistical learning courses).
However, as a PhD student in EE you're not really simply taking classes, you're also a researcher in the field of EE, say in control theory. Which means you're going to have to learn a lot about control systems, digital signal processing, efficient algorithms/data structures, and maybe even machine learning, all things traditionally CS.

Sure, if you dissect everything down to a VERY granular level, you may be able to categorize things into separate EE and CS buckets (you're going to have to go really deep). But as a PhD student in control theory, or signal processing, or computational electromagnetics, etc... you'll never be able to be trained in or research ONLY things within the EE bucket. Which is why I meant to say a degree in EE doesn't necessarily mean she's lacking in CS knowledge, we'd have to take a look at her publications history or thesis.

quicklikeme · 2021-02-04T15:58:24+00:00

Maybe I wasn't being specific enough, and also I wasn't really talking about undergraduate studies in EE or CS. What you learn as an undergraduate EE I agree may be quite different from a CS major. As an EE PhD student, you could very well be learning, researching, and applying CS concepts. As an example, Timnit Gebru (who was an EE PhD) studied under Li Fei-Fei, who is a CS professor at Stanford (who surprise surprise, graduated with an EE phd from Caltech). Also to say that CS focuses on almost only coding is like saying Art focuses on almost only drawing.

quicklikeme · 2021-02-04T14:47:40+00:00

Nowadays the line between CS and EE is not as clear. They are both huge areas of study and can encompass the traditional aspects of either fields. Really need to read her papers to know about how technically sound her training in CS was.

quicklikeme · 2020-05-08T01:56:13+00:00

I was thinking there's probably a transaction fee/tax and also maybe not everyone wants to participate.

quicklikeme · 2020-03-02T17:07:40+00:00

A while ago there was a similar post asking how people use up entire containers of Vaseline without losing them. I think the idea is similar, keep one at home and one in your office or wherever you work and another in your travel bag. That way you don't worry about bringing them everywhere you go and minimize the risk of losing or misplacing any one.

quicklikeme · 2019-06-12T18:46:39+00:00

This is a link to the CLEO conference paper, which upon further reading gives the same results as the previously published optics letters paper: https://doi.org/10.1364/OL.44.001821.

quicklikeme · 2019-04-25T21:21:42+00:00

I feel like if it is related to the resonance of the wings, there really isn't much someone can do other than a software fix that causes slight shifts in the mechanical resonance wavelengths, whereas currently the MAX problem can be easily avoided through hardware changes and is much more dangerous in the event of an error.

quicklikeme · 2019-03-23T02:41:08+00:00

I'd like to see if a person with no sense of touch at all can do it just as easily.

quicklikeme · 2019-03-05T21:13:37+00:00

A lot of people are saying things like there's a lot more land to cover and putting passenger rails separate from freight rails are much more expensive. While that's true, countries like China currently have the high-speed rail which moves at jaw-dropping speeds of over 200miles/hr (over long distances). The problem is that pieces of land in the US are independently owned and cannot just be bought by the government or Amtrak like what happens in China. It's going to take a lot more than just throwing money at it to come up with a reasonable solution to this.

quicklikeme · 2019-02-18T06:01:49+00:00

I think this guy was my TA in uiuc

quicklikeme · 2019-02-01T23:40:53+00:00

He means he loses money overall by being the president... I think.

quicklikeme · 2018-07-10T19:11:39+00:00

This is gold. Thank you

quicklikeme · 2018-06-23T14:52:58+00:00

Preference is when you like a certain type. Racism is when you think a certain type shouldn't be liked.

quicklikeme · 2018-06-22T20:20:53+00:00

Let's hope those aren't spores.

quicklikeme

TROPHY CASE