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@bayessays Sorry for not directly responding to your posts before. Yes, I've looked at the research pages at UNC, and Boston University. UNC seems promising and interesting but an ambitious goal at the same time. I have yet to look at Michigan State but it's on my list since someone else also recommended that it's seems like a school I could reasonably target. I don't think I'll be getting that Physics PhD, I guess. A combination of Applied Math/Stats seems the most reasonable to me, given the mathematical and inter-disciplinary nature of my interests. Given my undergrad background in physics, I'd like to touch base with my physics background, and quantum computing seems reasonable, I guess. So, I'm looking at Applied Math/Stats PhD's for Probability and perhaps Applied Math/CS groups for Quantum Computing. I know these fields are distinct and all that, but as I said, I still can't shake the idea of doing something really that's truly cross-disciplinary.

Honestly, right now, I'm more interested in seeing which option opens up for me, and I'll take it from there then. You're right, I'll have to choose one path or the other. But my original question was motivated by figuring out can one really work on such inter-disciplinary topics. Having said, if I go the quantum computing route, I'll definitely study probability and statistics to keep industry options open, and if I go for a Stats PhD, I really want to touch based with some inter-disciplinary topics You're right, I'll have to make a choice, but I'm waiting to see which opportunity opens up for me. Perhaps I'm being too ambitious inter-disciplinary research but that's what gives me a kick, honestly.

Hi, I'll be applying in the next round to applied math/stats (and maybe even CS departments but I have no formal background in CS) for probability theory and quantum computing. So I suppose I asked this question to try and figure if there are schools where I can study statistics, and also touch base with my physics background on inter-disciplinary projects. I posted a profile evaluation question here a couple of days ago: Suggestions based on my profile?

Hi, Are there any PhD programs/research groups in Statistics in the USA/Canada that people working in quantum stochastic calculus, stochastic processes etc. I haven't been able to find such groups in the US, so I'd appreciate any leads.

Yes, of course. Admissions are extremely competitive, and I'll try and target good public school in the top 20-40 range. But I think I'll try and take my chances at the top schools as well so I have no regret later as to what could have been. Yes, I've heard that Northwestern, NYU and Yale have extremely small programs, so I suppose I should be looking at large state schools in the top 20-40 range, and some dream schools in the top 20 range where I can take a shot. Let me know if you have anything to add. Thanks!

True. Makes sense, but I suppose I should take my chances and at least apply. Of course getting into a top 20 school is going to be super difficult. Is your suggestion the same as the previous person's? Should I aim for the top 20-30 (or 40) range? What would be your suggestions for schools for me, and how I can refine my list. Would love additional input.

So you're saying I should try and target the top 20-30 (or 40) range. That seems reasonable. Should I forget about the likes of Cornell, Stanford, and Columbia? Stanford is a dream, dream school, of course. Columbia seems like a good fit, dream school, so I'd like to take my chances there. What about Cornell? They're 20th in the ranking, right near UNC Chapel Hill? Worth taking a shot, or should I aim a bit lower? I guess I can take out one of Cornell, Stanford and Columbia for a school that may be less of a reach, and remove Oklahoma State/Utah State for a more reputable school, since I'll also be applying to some other applied math schools like UC Boulder, Southern California, Arizona etc as well where I would have the chance to study probability.

I went to a university in South Asia. I graduated at the top of my class for the Economics and Mathematics joint major. I have mostly A's in the physics and mathematics courses, with an overall GPA of 3.84. It's a well known university in my home country, from where students have gotten into good universities for graduate studies, especially for CS, Biology etc. Students from physics and mathematics have gone to good universities (UT Austin, Berkeley etc.), but I suppose that was more so because of those students' achievements rather than the school's general name and prestige. It's definitely not a USTC, ISI etc. Would you recommend I apply to some other school(s) than Stanford, Columbia or Cornell? I'd like to apply to at least one dream school (Stanford/Columbia) but maybe applying to all 3 of them may not be a good choice, Any reasonable 1-2 substitutes for Columbia/Stanford or Cornell. In that range but at places where I may have a better chance?

Hi, I'm interested in applying for PhD programs in Statistics to study probability theory. I'm also interested in inter-disciplinary applications of probability theory to statistical mechanics. Here's my profile: Undergrad Institution : International university Major(s): Economics & Mathematics GPA: 3.84 Minor(s): Physics Grad Institution: Kansas State Major(s): Mathematics GPA: 4.00 Type of Student: International (Asian) Courses taken and taking: Calculus I-II (A, A-), Linear Algebra (A), Mathematical Proofs (A), Topology (A), Real Analysis I,II (A+), Graduate Real Analysis I, II (A), Applied Math I, II (A), Numerical ODE's (A), Measure Theory Based Probability Reading Course (A), Complex Analysis (B), Undergraduate Probability I (A), Statistics and Data Analysis (A), Econometrics (A+), Functional Analysis (Taking next fall), Topology and Geometry (Taking next fall). Misc: Bunch of physics courses, including some economics courses like Game Theory. Will most likely continue taking math classes during my remaining time at Kansas State. Self studied enough abstract algebra, linear algebra, and complex analysis to pass the qualifying exams in analysis and algebra. GRE General Test: Q: 168 (94%) V: 156 (73%) W: 5.5 (98%) GRE Mathematics Subject Test: Will be taking in September and/or October Programs Applying: Statistics Research Experience: Worked on a physics research project in undergraduate. Resulted in a publication. Pertinent Activities or Jobs: Tutor, TA, Graduate Teaching Assistant Letters of Recommendation: 1 from physics professor, two from math professors Applying to where: PhD: Stanford, Columbia, Cornell, UC Davis, Minnesota, UW Madion/UNC Chapel Hill, Boston University, Penn State, Iowa State/Colorado State, Texas A&M, Oklahoma State/Utah State (safety?) Could someone comment on my chances, and how difficult it may be for me to get into a good, reputable school in statistics for a PhD in probability, where I can work on interdisciplinary topics, and explore auxiliary interests in statistical learning theory etc.