[Fall 2020 Stat/ Applied Math PhD]

Undergraduate: Top 15 school in US

Double Major: Mathematics and Computer Science

GPA: 3.90

Type of Student: Domestic White Male

Relevant Courses: (All are completed so far, mostly A, some A-, B in combinatorics)

Lots of math and cs classes. 7 grad classes total (grad probability sequence, grad analysis sequence, grad numerical analysis sequence, grad machine learning class)

Stats related classes: Probability, Mathematical statistics, graduate probability sequence, machine learning sequence, natural language processing

GRE General Test:

Q: 170

V: 160+

Math GRE:

Waiting for score.

Research Experience: One REU in numerical analysis/ combinatorics. Research with CS professor at school, ran some empirical tests on large datasets. One paper from REU.

Letters of Recommendation: Pretty famous professor from REU (very good letter),  Pretty nice letter from CS professor I did research with, letter from math professor I took 3 classes with

Additional Experience: Teaching assistant and tutor for several semesters in calculus and some CS classes

Applying to: All some sort of applied math PhD (because there are so many different names for these) unless marked. My interests are broadly in numerical/ statistical computing, machine learning, various statistical fields.

Stanford

Caltech

NYU

Berkeley

MIT

Columbia (Stat)

Harvard (Stat)

Chicago (Stat)

Questions: These are honestly all dreams. I need recommendations on schools that I am likely to get into that I should apply to. Does anyone have help for me?