Hi everyone, would love a profile evaluation - any honest feedback on the types of schools I should be targeting would be greatly appreciated! I'm an undergrad senior applying to PhD Stats programs.
Institution: large state school, top 100 overall, top 50 math department
Type: Domestic applicant
Major: Mathematics, Biology
GPA: 3.99 (Math GPA = 4.0)
GRE General Test: 167 (Q), 166 (V), 5/6 (Writing)
GRE Mathematics Subject: not good so not sending it anywhere
Work Experience: one internship in large pharma company (stats department) and one in a Wall Street bank (technology department but data focus)
Research Experience: 1.5 years doing statistical analysis work in a school of optometry lab
Computer skills: Python, R, SQL/Databases, Tableau
Coursework (all A's):
Mathematics: Calc I-IV, intro to Diff equations I-II, Honors Linear Algebra, Intro to Real Analysis I, Elementary Complex Variables (next sem)
Statistics: Intro to Probability Theory, Intro to Statistical Theory, Applied Linear Models I-II
Other relevant: Intro to Programming, Principles of Machine Learning (next sem), Bioinformatics (next sem)
Awards: Graduation with college honors, Phi Beta Kappa, Dean's List every semester
Letters of Recommendation:
Assistant Professor in Department of Statistics, taught my Stat Theory course and knows me well
Associate Professor in optometry who supervised my research
Research Fellow at the pharma company where I interned
[I expect strong letters but don't think my letter writers are very well-known]
Schools:
Top: Harvard, UC Berkeley, UChicago, Carnegie Mellon, UPenn, Duke, Johns Hopkins
Middle: Michigan, NC State, UNC, Columbia, Purdue
Thoughts:
Should I apply to some MS at top schools even though the end goal is a PhD?
What are my chances for Top 10 stats PhD programs? Should I apply to more safety schools?
Will I have a good/better chance at top biostatistics programs?
I would appreciate any genuine feedback about my chances and any other recommendations - thank you very much!