Ph.D. in Stat/Applied Math for Fall2022 -- Seeking for Evaluation and Advice (Thanks!)

[melay]

Background:

Undergrad Institution: University outside US
Major(s): Applied Mathematics 

Minor: None
GPA: 3.9

 

Master Institution: Top20 US university

Major(s): Applied Mathematics 

Minor: None
GPA: 3.7

 

Type of Student: International student

GRE: 155(V)+170(Q)+4(W)

 

GRE Subject: Not planning

 

Coursework (completed)

Undergrad STAT/MATH: linear algebra(2 sem), calculus(3 sem), abstract algebra, topology, analysis(2 sem), ode and pde(2 sem), fluid mechanics, numerical analysis, intro to probability and stats, applied stochastic models, complex functions, statistical inference theory, quantum mechanics, metric spaces, operational research (2sem), linear statistical models, differential geometry

Master: convex optimization, scientific computing , topological data analysis, machine learning(3 sem), PDE, variational methods, data analysis (received 70% As)

 

Research/ working experiences:

• 2 undergrad research experience during summer: related to mathematical physics; about computer simulation, numerical PDE and dynamic systems
• 1 on-going master research and on-going thesis: both about scientific computing and high-dim data
• one paper published as the 1st author(not very influential)

 

Skills

Python, Java, Latex, Matlab, SPSS

Teaching experience

2 semesters of undergrad intro courses on math

 

Letters of recommendation:

1 or 2 professors from undergrad researches,1 from current research; 1 or 2 from master courses.

Schools

Unsure. All recommendations would be appreciated!

[Cophysneurec]

What I've discovered is that if you want good application advice you need to get really specific. Nobody has the time to vomit all their knowledge at you, so you have to ask specific questions about specific programs or particular aspects of your profile. Do your own research and then ask for input on the details you couldn't work out yourself.

 

-fellow applicant