Scrappyhappy

Got the rejection just now. Good luck to anyone who hasn't heard!

Congrats on the honorable mention! Sorry that it didn't go further, though. thanks and good luck to you as well!

same here!

Are you stuck in december limbo as well?

Hi everyone, I applied last cycle and just wanted to say that I hope this cycle brings you what you wished for, but if not, please please don't let it crush your dreams! It is heartbreaking to not be accepted anywhere after getting hopes up and putting in all of the effort, but take some time to evaluate your options and whether you still want to go to grad school, and if so, apply again next year! Many people apply multiple times. It took me a couple of tries as well -- if you want to discuss options/generally vent, feel free to PM me. Lastly, this year there is the added struggle (I think) that program sizes are smaller, and between (hopefully) regularly sized programs and a little bit more experience, next year's cycle could be much more fruitful!

12/9 update now

same

Great! If you have any other qs feel free to DM me. I can give you my email address, it'll be easier to talk there. Maybe depending on your interests, I can suggest some faculty.

You could definitely be jointly advised! Math programs are also very independent, and I find that most of the advisors are pretty flexible at NYU math, though it depends on your professor at the end of the day. You are correct that research in Neuro departments is more dependent on the lab matchup, but I think that also holds more for experimental students. I think computational students are offered a bit more flexibility, just because in general, they tend to have multiple "advisors", whether they are based in Math or Neuro, because it is interdisciplinary and you need experimental/mathematical/computational viewpoints. A bigger difference between math and neuro, though, is that the math department has funding for the students for 5 years, and many students use that funding for the five years, as sometimes their advisors cannot fund them. In Neuro, they expect your advisor to fund you once you choose a lab (thought there is departmental funding if needed). This could be why the research in Neuro departments is more dependent on the lab matchup. I think this funding cultural difference is because most neuro profs have their own grants, whereas not all the math profs do. The departmental funding keeps people in the less NSF/DOD/ etc. funded disciplines. You won't be alone if you are at the intersection of two fields, you will just need to be more proactive in forging connections between professors where there may not already be any. Though, there are plenty of existing collaborations should you choose to go that route. I am not sure about any publication requirement/expectation. Math is highly variable, with applied mathematicians having more publications typically. I would expect 2-3 by the end of graduation, from what I've seen from people on the more applied side. Again, this is very field dependent; i.e. machine learning may have more I'm not sure about the placements -- a lot of people do leave to go to industry but many go on to get postdocs! I would look at the faculty that you are interested in and see what their students did afterwards. Across most programs, there isn't a "general placement" statistic that is informative to look at: e.g. at great programs, you could have professors that drive all of their students out of science. It is more useful to look at these stats on a prof by prof basis. That said, academia is competitive, regardless of what program you start in. I would suggest not to worry about it too much at this stage. If you decide to go the academic route, I feel that the postdoc will be more important for positions. I don't think there are formal further specializations at NYU's math. It's more where your research takes you. You could decide to do very varied work, or stick to one niche. It is up to you! your GPA is going to hurt, but your post bacc will help! Math GRE will be very important. A good score and statement may help offset the GPA. You could also reach out to profs you are interested in, and have a chat with them, maybe they'll put in a good word if they really want you as a student. I can't say that you have great chances, but with hypercompetitive programs, it's hard to tell about anyone. All we really know is that you have to apply to get in! No harm done by trying. For your applications, I would try not to solely focus on computational neuro for the statement. If you know that is your interest, I think a neuro program would serve you better! But if you have varied interests in economics, neuro, genetics, etc. and a particular approach that you like that connects all of these fields, that would be a good reason to be in a math program!

Ah okay! From my knowledge, it seems that math programs will care much more about test scores/gpa/solid math background, and less about the specifics of your research background. I can't speak to too many programs, but UC Davis, UNC Chapel Hill, and UW seem like they have classic programs that people with interest in mathematical biology apply to. Specifically, I think that NYU would be a great fit for your interests in computational neuro, and I can try to answer some questions about the environment/requirements there if you have any questions! The math department has tons of faculty with various applied math research interests.

^^ The reason I say this is because the admission requirements (or desires) will depend heavily on which home department you decide to base yourself in. I can give some advice on neuro and math programs, but the requirements, I think, will be quite different between the two. Do you know which department you'd apply to?

Hi! are you applying to specific computational neuroscience programs? I didn't think that MIT and UW had specific Ph.D. programs in computational neuroscience. Usually, students base themselves in a home department, and conduct interdisciplinary research or join a specific training grant within the overall program.

not selected as well!

Found it... mine says 11/6 as well. time to worry... haha!

where do you find this information?