nematode538

Thank you very much! That is really helpful information and I appreciate your feedback! I'll swap Washington for something more attainable.

Hi all, I am a senior applying to PhD programs in biostatistics for the Fall 2020 cycle. I am interested in working on neuroimaging data or other complex data structures coming from biology/medicine, but I know that that will probably change later on! Do you have any thoughts or feedback about the list below? Undergrad Institution: Top 5 public (USNWR) Major(s): Statistics & Math GPA: 3.5 Type of student: Domestic White Male GRE General Test: Q: 169 (95%) V: 163 (93%) W: TBD Programs Applying: Biostatistics PhD Research Experience: - 5 semesters + full-time summer in biology lab doing machine learning and statistical analysis on imaging data o Got a few thousand in grants from university and NSF to support summer project. o Hopefully submitting a paper in the next couple of months, but may not be in time for apps. - Honors thesis in statistics department, very applied. Letters of Recommendation: - Biology PI: can speak to research experience, knows me well. - Two stats professors from upper level classes I did well in. Grades: A: Machine Learning Differential Equations Simulation Combinatorics Spatial analytics special topics (Grad level) Object-Oriented Java Data Science A-: Econometrics Probability B+: Stochastic Models (Grad level) Real Analysis Multivariate Calculus B: Linear Algebra Discrete Math Optimization For what it’s worth, GPA has improved from a 3.2 the first three semesters (most of the B's were in the beginning) to a 3.8 the last three. Currently taking Measure Theoretic. Schools I'm thinking about (all Biostatistics PhDs): Michigan Washington Wisconsin Minnesota Ohio State Penn Brown UC Davis UCLA Columbia or Berkeley?