Undergrad/grad Institution: Vanderbilt Major: Molecular and Cellular Biology
Minors: Scientific Computing, Chemistry, (maybe math, if I decide to take diff eq) GPA: 3.8
Type of Student: Domestic Asian Male
Relevant Courses:
Single variable calc 1 and 2 (5 on AP test), multivariable calc (A-), intro to stats and probability (A-), stats lab (A), biostats (A), genome science (A), thermodynamics (A-), calc-based physics lecture and lab (A), Data Science Methods for Smart Cities (A)
Courses in progress: Foundations in bioinformatics (grad course), linear alg, real analysis
GRE: Taking in a week, but I got 180 quantitative on all practice tests, 155-160 on verbal
Career goals: Leaning towards industry. Interested in bioinformatics, and I want to get a solid education in the statistical theory behind it
Programs Applying:
Biostatistics PhD (only applying to MS programs if PhD apps don't work out)
Research Experience:
Two years worth of research at Vanderbilt (one project on RNAseq analysis, new lab focused on machine learning for genetics)
One summer internship in industry focused on machine learning and medical imaging
Just got back from 3 week Summer Institute in Statistical Genetics at UW. Mostly just attended lectures, but I luckily got to talk to the UW professors a little
Recommendation Letters:
One from biostats prof, the other two from PIs from two diff labs, one of whom is a big name in evolutionary genomics
Coding Experience:
R, Python, Matlab
Applying to:
University of Washington
University of Michigan
University of Minnesota
UNC
Yale
UPenn
MD Anderson
Duke
University of Pittsburgh
Boston University
University of Rochester
I know my math background is lacking, but I only recently became interested in biostats, and I'm trying to make it up by taking more math courses senior year. Any tips? Or schools you would add/remove from my list?