raptorsfan

@Ryuk Thank you so much! Also congratulations!! Getting into those schools is super impressive. My school does not have awards for classes, but I have participated in my country's national math olympiad in high school, and I've been practicing the Putnam. Can I make up for not having math awards for classes with math contest stuff? @trynagetby and @kingduck and @BL4CKxP3NGU1N and @Stat Phd Thank you so much for the input! I will make sure to have good relationships with my profs. @dobzhansky That makes a lot of sense. I will definitely look into it. Thank you so much to all of you!

@Ryuk Thank you for the advice! I haven't specifically asked any professors, but there are four who know me very well (two are well-known academics with Wikipedia pages and two are in their early 30s). In terms of research, I hope to publish a paper in deep learning/CS by the end of the summer (it's more on the applied side unfortunately). Also, I am working with two professors on statistics research. The work is highly theoretical, and I think I can publish results within the next 18 months. @dobzhanskyThank you for your feedback! In terms of fellowships, other than Knight-Hennessy, my understanding is that they are only available for US citizens/permanent residents (I'm international). Will it be held against me if I do not have any prestigious fellowships?

Institution: Ivy (don't want to say which but not HYP) Degrees: BS Computer Science/MA Mathematics (I'm currently on pace to finish in 3 or 3.5 years -- should I do this?) GPA: 3.93 overall/4.00 major Type of student: Chinese/Central Asian international student Languages: English, French, Chinese, one other language I don't want to say (all native) Awards: math olympiad stuff from high school GRE: Haven't taken it yet Programs applying: Statistics/ML Research experience: CS research in high school (basically just got coffee) Deep learning research in CS Currently starting stats/ML research Relevant coursework: Math: real analysis (graduate), abstract algebra (graduate), other undergrad-level courses Statistics: mathematical statistics, PhD ML seminar, other undergrad-level courses CS: ML, algorithms, etc. Pertinent activities or jobs: Data science internship TA for CS courses Applying to where: Top 20 stats programs