I'm currently a first year stat master in Michigan, Ann Arbor, it's an applied stat program, but I'm taking all PhD level courses, and they are vary theoretical. Courses: Statistical Inference(more theoretical than Casella's book), Asymptotic theory, Stochastic process, Linear models, Multivariate analysis(data mining/statistical machine learning), statistical computing.
My current graduate GPA is 3.9/4.0, but as an international student, PhD application is very competitive, and my undergraduate GPA is only 3.4/4, from Asia. Other information: GRE V154+Q170+AW3.0, GRE math sub about 85%(I may retake it if it's necessary)
I'll do research in a bioinformatics lab this summer, with topics related to machine learning. I'll apply for 2016 fall Stat Phd programs, with research fields around statistical machine learning. If I apply with these background, is it possible that I can get admitted into a top 50 program?
Thanks all!