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I'm wondering if you've checked online sources, since there is a thrust nowadays to have more government data available online - I'm thinking of federal data sets on http://www.data.gov or on the state level like with New York: http://www.nysenate.gov/opendata. Maybe other states don't have as much info available as NY state, but there might something useful already online.

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I hadn't thought a lot about this before reading your post just now. I've been reading a lot of my primary POI's work for a while now and especially in preparation for when he spoke with me before I got accepted, but now that you mention it, I will definitely read up on the work of other profs who I'm interested in. It's always a good idea to be prepared to talk about your research or your interests at any point, so rehearsing is definitely a good idea. I definitely am wondering about the dress code though - my invitation said that casual was fine for all events, but how casual is casual? What if I do go in a jeans and jacket and other people dress more business casual than casual casual? And what if it's the reverse? I've been in contact with a grad student at this school since I've been admitted so I'll ask.

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Apply again? I did it after going 0 for 4 last year. I learned a lot from the process, I redid my SoP, made sure I researched my schools thoroughly and I've been accepted at some pretty good schools this year, with funding. If you really want to go to grad school, don't give up on it just yet.

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It's nice to be courted isn't it? If everything else is equal, then how much they want you could definitely be a deciding factor.

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It really depends on the department - some departments might not invite international applicants to a recruitment event due to the costs involved.

Having read through all these posts, I think the OP said it best!

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Your Math and Stats background is really good for Machine Learning, so that is a positive. Your case reminds me of Christopher Scaffidi - he had a background in Physics (I believe he had a MS in Physics) before he decided he wanted a PhD in Computer Science. He did the CS GRE and scored very highly on it and got into Carnegie Mellon and he's now a prof at Oregon State. So you could consider doing the CS GRE since it tests a wide background of undergraduate CS knowledge. That test is pretty hard though and will require hundreds of hours of preparation for someone without a CS background, but doing well on it would show your competence of undergraduate CS topics. Alternatively, you could consider some mathematically slanted computer science programs. I'm thinking specifically of the University of Alberta, that has a very good machine learning group. They have a Statistical Machine Learning program that is geared towards people with either a Maths background or a CS background, so you can look into that. I'm sure there are other similar programs out there as well. Best of luck!

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