Stat PhD profile evaluation

[kkiscaelling]

Hi Everyone,

 

Undergrad Institution: Large Public School with a top 20 math department  (US news)

Undergrad Major: BS in Statistics

GPA (Undergrad): 3.9 overall

Type of Student: First Generation Asian Female (Permanent Resident in US)

Relevant Courses (Undergraduate): 

Calc I/II/II (A, A+, A+), Analysis I/II (A-, B-), Applied Linear Algebra (A+), [proof-based] Linear Algebra (B), Abstract Algebra (P),  Applied Probability Theory (A), ANOVA (A), SAS course (A), SQL course (A), R studio course (A), Numerical Methods (A), Partial Differential Equation (A)

Research: 

• 2 semesters of physics research in statistical inferences
• 1 year of independent study in pure math
• 1 summer REU in computational math

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GRE General: Q/V/A: Will take it soon (PP1 score around 160/167/4.0)

GRE Math Subject: Planned on taking in September

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Research Interests: High dimensional inference, Machine Learning, Stochastic analysis 

Prospective Schools: Statistics (S) and Industrial Engineering/Operation Research (IEOR)

• Reach: Columbia (IEOR), Cornell (IEOR), UW (S), CMU (IEOR), NC State (S)
• Target: Rice U (S), UT (IEOR & S), Emory (Computational Math)
• Safety: Georgia Tech (Online Masters of CS)

My application is probably too unrealistic because I am still hesitant on whether I should go to grad school due to family reasons.

I feel like if I cannot make a decision myself, I'll just apply to the programs that are most interesting to me and let the admission committee do the job.  

Edited August 11, 2020 by kkiscaelling

[Stat Assistant Professor]

If you apply to more Statistics programs, I could see you getting into some programs at larger state schools like Iowa State, Purdue, and Texas A&M... it will probably depend on the strength of your recommendation letters. I would add those to your list of "target" schools, as well as a few "safe" schools ranked in the 35-50 range.