Hi everyone,
I'd sincerely appreciate an honest profile review. I recently took the GRE, and unfortunately I haven't had much time to study, so my results were way less than stellar. Also, my GPA seems to be mediocre. I do have decent research experience and grades in upper-division and graduate courses. Taking all of this into account, I'm unsure of the strength of my profile. I come from a theory-heavy background, and I've only recently discovered all of the neat applications within biostatistics, so this is now the route I want to pursue. I've tried to include schools in the 4-15 range for biostatistics, but I'm unsure if this is too ambitious. Applications are expensive, so I don't want to waste a ton of money. Any advice would be extremely appreciated.
Undergrad Institution: Ohio State University Major(s): Computer Science Minor(s): Mathematics GPA: 3.5 (upper-division and graduate work is 3.75+)
Type of Student: Domestic white male GRE General Test: Q: 159 V: 157 W:
Programs Applying: Biostatistics PhD
Research Experience: REU at Duke on Topological Data Analysis; 9 months working full-time with a private research and development company on data fusion stuff; reading group on algebraic topology
Awards/Honors/Recognitions: Graduating Cum Laude, University Honors program
Letters of Recommendation: 2 pretty known professors within the Topological Data Analysis community, one from Ohio State and the other from Duke. My other letter writer was my boss when I worked for the private research and development company. They should all be decent.
Any Miscellaneous Points that Might Help: I've taken graduate courses on Complexity Theory, Advanced Linear Algebra, Topological Data Analysis, Differential Geometry, and Algebraic Topology. All of these were either A's or A-'s. I've also taken the standard undergraduate analysis sequence and abstract algebra. I got A's or A-'s in them.
Schools:
- UCLA
- Columbia
- Berkeley (MS biostat)
- Michigan (MS biostat)
- Penn
- UNC
- Boston University
- Duke
- Ohio State
- Rice (PhD Statistics)
- Brown