I am planning to apply to Stats/ Biostats PhD programs for Fall 2020. Looking for any suggestions and advice on my profile, the list of schools I am applying to, the range of schools I should be aiming for, as well as if there are other places I should look into. Thanks in advance, any feedback will be highly appreciated!
Undergrad Institution: Large State School
Major: Math & Econ
GPA: 3.97
Type of Student: International female
Relevant Courses: Calculus 1-3 (A), Probability (A), Statistical Inference 1 (A-), Linear Algebra (A), Real Analysis 1 (A), Time Series Analysis (A), Discrete Math (A), Object Oriented Programming (A-), Applied Statistics 1&2 (A), Data Science (A). Taking Real Analysis 2, Statistical Inference 2, and Stochastic Processes this semester
GRE General: 165 Q, 159 V, 4.5 AWA
GRE Math Subject: Taking in October
Grad Institution: None
Programs Applying: Statistics and Biostatistics PhD
Research Experience:
- Undergraduate research for > 1 year applying existing data science and statistical methods to perform predictions on health data. Published a few papers to health journals and presented at several conferences.
- Semester-long independent research for my senior Econ class.
My research is mostly applied. I haven't really had any research experience in theoretical math/statistics. Will that be a cause for concern?
Teaching Experience: Graded for calculus and intro stats classes for 3 semesters.
Coding Experience: Proficient in R, Python
Letters of Recommendation: One from research advisor, two from professors I took class with.
Research Interests: Statistical modelling, statistical methodology with real applications, non-parametric methods, causal inference
PhD Programs I am applying to:
North Carolina State (Statistics)
CMU (Statistics)
Columbia (Statistics)
Penn State (Statistics)
Purdue (Statistics)
Rutgers (Statistics)
George Washington University (Statistics)
University of Connecticut (Statistics)
University of Pittsburgh (Statistics)
Harvard (Biostats)
Emory (Biostats)
UCLA (Biostats)