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Pure Math to CS Phd - Profile Evaluation


mcaleste

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I would greatly appreciate any feedback. I'm currently a senior and would love to get some feedback on what schools I should be aiming for. 
 
Undergrad Institution: Large state school 
Major: Pure Math and Economics
GPA: 3.76 (overall), 3.90 (upper division math)
Type of Student: Domestic White Male
Courses/ Background:
Quantitative Courses:
Calc 1,2,3 (C+ in calc 3, As in others), Intro Linear Algebra (A), Intro Abstract Algebra (A), Linear Programming (A), Applied Statistics (A), Econometrics (A+), Applied Linear Algebra (A), Intro Proofs Class (A), Advanced Calculus (A), Complex Analysis (B+), Group Theory (A), Topology (A), Graduate Real Analysis (this semester), Graduate Statistical Machine Learning (this semester), Graduate Artificial Intelligence (this semester)
 
I'm skilled in Python and experienced in many other languages. 
 
GRE: 164Q, 169V, 5
 
Research Experience: Have been doing machine learning research with two professors. Currently leading my own research projects. No publications, but will give presentations to the research groups. 
Awards/Honors/Recognitions: Dean's List, on pace for Magna Cum Laude
Pertinent Activities or Jobs:  Founded startup, two Wall Street internships (non-technical), two software engineering internships, research assistant, Tutor, leader of multiple student orgs
Letters of Recommendation:
-Two professors I'm currently doing research with
-Finance professor who heads the student org I lead, have worked with him over multiple semesters

Thinking of applying to:

Toronto (masters)

Montreal (MILA group masters)

NYU

Michigan

Rice

Johns Hopkins

UCI

Colorado

Caltech CMS

 

Do I have a shot at any of these schools? 

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I don't know ML specifically for what are the top schools, but I think you have a very solid application. You have a strong quantitative background and research experience in CS. Switching from math to CS shouldn't be a problem for you.

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