FullMetalJason

I myself am a woman and pursuing my graduate studies in this field. There's no gender bias here in calling out flaws in work that's deeply technical. I have given similar reviews to some enormous claims put forward by my peers(men and women). I agree that person2 could have been more subtle on a public forum. But not even for a second did I associate a gender dimension until person1 brought it into the context.

Since we are talking history - with some search - I found out that Person1 has recently put out a #metoo experience and called out some incidents at Caltech. Don't you think there's not even a little bias here against every possible "person2" who happened to be a male and just gave a technical feedback? Not like that's an invalid statement. He does have valid points in what he said(just the way he said it might not have been ideal). But it escalated very quickly!

Thanks for the share! So you got a phd admit?

That helps! Thanks :)

Definitely :) Thanks!

Makes sense. Thanks :)

No problem at all :) Thanks a lot for the info. I am actually looking for such realistic views about things to set a clear perspective on how to proceed forward. Will definitely look into that!

1. iOS reminders app for to-dos 2. google calendar for day to day tasks and meetings 3. Evernote for weekly, monthly and yearly progress(I should get a better tool for this)

You are right :) If I had something that's good enough that it gets through nature then it's a different game altogether. But let's say even if you had something that was good enough to be published in Nature, what are the chances that it will get through if I directly send it in myself as a single author?(do they even accept such submissions?)

I guess that's one way to move forward :) Thanks! Will give that a shot then.

Thanks! I have Masters in CS from a state uni(Have a thesis in Machine learning). Been in industry(FAANG) for 2 years as an ML engineer(I know that's not a great track to be in for research). But I am very much interested in getting into core research teams like FAIR / Google Research as a Research Scientist(trust me when I say that the teams set the bar very clearly with an entry minimum of phd though you are exceptional as an ML engineer and they are highly attached to certain unis too. That's reality). I am not in the 99th percentile with my grades though(3.5/4.0). I understand that's also an important factor with admissions. So I am working on boosting my profile up with some good pubs. Pointers?

Thank you for the pointers. How do PhD admissions look at self-publications? What are your thoughts on below two situations evaluated by the admissions committee at a good university(say MIT/Caltech)?

1. A strong LOR from a PI managing a known lab(but with few moderate pubs on my name) vs. 2. No great LORs but self-publishing one or two good papers(quantified with good number of citations and overall quality)