Undergrad/grad Institution: Top 15 US University BS/MS Major: Statistics GPA: 3.93
Major GPA: 3.84
Type of Student: Domestic White Male
Undergrad Courses:
Calc II (A+), Calc III (A-), Lin Alg (A), Diff EQ (A+), Discrete Math (A), Probability (A), Stats (A+), Stochastic Processes (A-), Optimization (A+), Time Series Analysis (A-), Graph Theory (B)
Grad Courses Will Take Next Semester:
Real Analysis, Optimization Theory, Stat Theory, Matrix Analysis or Machine Learning (definitely first 3 and one of these last 2)
GRE:
Q: 170V: 169W: 5.5
Math GRE:
Should I take this?
Programs Applying:
Statistics/Biostatistics PhD (Good bio background)
Research Experience:
2 years in behavorial bio/nuero research lab not doing too much important.
Been working on since last semester, a research paper/project in ML that I hope to publish and that I will also likely write a masters thesis on.
Recommendation Letter:
Probably research advisor and 2 professors or 1 professor and supervisor from current data analyst internship.
Coding Experience:
R, Python, MATLAB, C
Concerns:
Lack of good research experience.
Lack of great recs.
Is a top 20 stats program possible? Would I be more suited for biostats with my bio background? Should I wait until 2020 when the research paper is more likely done and can get better recs? Is the Math GRE subject test important?
