Statistics PhD profile evaluation

[shadowistics]

Here is my profile,

Undergrad Inst.: 1st in my country
Major: Computer Science
GPA: 3.78

 

Grad Inst.: 1st in my country
Major: Computer Science
GPA: 3.88

I wrote my master thesis in Bayesian statistics.

I should mention that I did not take any real analysis course. 

 

Type of Student: International male

GRE General: 150V, 169Q, 3AW

TOEFL: Not taken yet, but expected ~100

Programs Applying: PhD in Statistics

 

Research Experience: 1 paper was submitted and presented, 2 will be submitted before the application.

 

Letters of Recommendation: One is from my thesis advisor, two are from math&cs professors 

 

Computing Skills: 

Fluent in many PLs: Python, C/C++, Java, Matlab, R, .... 

I've written many statistical inference programs.

 

 

Applying to Where: This is where i need your suggestions. I do not know where to begin. My only criteria is I need funding. What would be my safe picks?

[shadowistics]

Update:  TOEFL : 103 and 2 papers were published and presented in total.

I am still struggling with trying to determine which universities I should aim, any suggestion?

One more question, is it a disadvantage applying as a CS student for a PhD in Statistics?

 

[Bayesian1701]

I am also an applicant for this cycle so I am not an expert. However, since you are an international student and you need funding I would focus on middle-tier and lower-tier programs.  How much math do you have? Do you have any experience with proof based mathematics?  Also are you interested in Bayesian statistics?  My suggestions on schools to start are:  Virginia Tech,  Missouri, Kansas State, Florida State,  and Baylor to start.