Hi. I'll be applying to PhD programs in Statistics and Biostatistics program this fall. I finished my undergrad in 2019 and have been working since. I worked in a pharmaceutical industry for a few years in a research setting under supervision of Statistics PhDs, and recently moved to work as a data scientist / statistician at an academic institution. I recently completed an online Master's degree in Statistics, which I started with an intention of applying for PhD program afterwards. I'm trying to get an idea of which schools someone of my caliber should consider applying to set realistic expectation. I am generally looking for programs with opportunities and high interest in Bayesian Statistics.
Undergrad Institution: UIUC
Major: Math, Statistics (Double Major)
GPA: 3.66/4.0 (Math Major GPA: 3.69, Stat Major GPA: 3.)
Type of Student: Domestic Asian Male
GRE General Test: (these are old expired scores, so will need to take them again. I don't quite remember the numbers and these are guesses)
Q: 166
V: 156
W: 3.5
Grad Institution: Texas A&M
Concentration: Statistics (Online Masters)
GPA: 4.00
Research Experience:
I don't have a publication of my own from the first role, but am included as a second other in 3 papers, several posters, 1 book chapter, and have my own R package (albeit not statistical but visualization).
Awards/Honors/Recognition: Graduate with Highest Distinction in Stat, Distinction in Math
Pertinent Activities of Jobs:
course assistant for a statistical programming class in undergrad
part of a undergrad research group for a semester
worked in a pharma industry doing bioinformatics research for 3 years
statistical consultant for researchers at a university
developed programming / statistical workshop for students
Letters of Recommendation:
I have 3 managers from my previous job who I have had good relationships with willing to write LoF. 2 with PhD in Statistics and 1 in bioinformatics. One person has had solid contributions to Bioinformatics
1 professor from my master's curriculum who is willing to write one for me.
1 professor from my undergrad statistics course. Might also be less strong, but we've also talked outside of the course setting that they could write a decent one.
Math/Stat Grade:
Math: Calc (B), Abstract Lin Alg (A-), Intro to Abstract Alg (A-), Diff Eq (B+), Linear Programming (A), Real Analysis (A), Nonlinear Prog (A-), Numerical Method (A)
Stat: Probability (A), Biostat (A+), Bayesian Analysis (A), Time Series (A), Survival (A+), Machine Learning course (A)
Programs Applying:
Separating Statistics and Biostats program, some programs I'm considering are:
Statistics: Texas A&M University, UIUC, Purdue, University of Iowa, University of Wisconsin-Madison, Ohio State University, University of Conneticut
Biostatistics: Rice University, University of Florida, University of Michigan, University of North Carolina, University of Wisconsin-Madison
I didn't have the greatest start to my undergraduate years, but it certainly got better as I took more advanced courses.
Though I have a background in math, I understand that the statistics PhD programs are usually math heavy, and a professor I've spoken to suggested that I consider programs that lean more on the applied side (like biostatistics); that is not to say they don't involve any math at all. The latter would be more in alignment with my previous experience.
Generally should I view all of these universities as reach schools?