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
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
- 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)
Penn State (Statistics)
George Washington University (Statistics)
University of Connecticut (Statistics)
University of Pittsburgh (Statistics)