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@bayessays Thank you for the reply! Yeah, I should definitely include other schools in the mix as well. Do you have any recommendations on how to boost up my research experience by any chance? I'll be graduating soon... so is contacting profs for voluntary research after graduation a thing? Or should I go back for a thesis master?

I'm planning to take a few years off to work first before applying to PhD programs so any advice to make my profile stronger would be appreciated. I'm not too sure where I stand as an applicant to Statistics PhDs. Undergrad Institution: One of top schools in Canada Triple Major: Statistics, Pure Math, Mathematical Finance GPA: 3.92 Type of Student: International GRE General Test: Haven't taken it yet Research Experience & Recommendation Letters: - One semester in number theory with a math professor - One semester in probability theory with a statistics professor - One semester in computational statistics with a statistics professor No papers were published. I did quite a bit of work for the first and third professors so I'm expecting their recommendation letters would be strong. The second recommendation letter might be a bit weaker as I didn't achieve much other than some light experimental coding. A bit worried about the no papers published part here... Relevant Classes - Math: Linear Algebra 1 & 2, Real Analysis, Measure Theory, Functional Analysis, Differential Geometry, Group Theory, Galois Theory, Numerical Methods for PDEs, Modular Forms - Stats: Stochastic Processes 1 & 2, Stochastic Calculus (Measure Theoretic), Mathematical Statistics, Linear Models, Estimation and Hypothesis Testing, Time Series, Bayesian Statistics, Sampling and Experimental Design - Miscellaneous: - other mathematical finance courses (extreme value theory etc.), CS courses (neural networks etc.), applied math courses (numerical methods etc.) - 4 internships in data science during undergrad and potentially a few years of work experience post grad I got A in all math and stats classes. Schools: Statistics PhDs: Harvard, Stanford, Berkeley, UWashington, Uchicago, CMU, Columbia Operations Research PhDs: MIT, Princeton I'm also planning to apply to CS departments where there are cross faculty with stats. Research Interests: Not too sure about research interests yet but I'm mainly interested in: 1. Computational and Bayesian Statistics 2. Theoretical/Applied Machine Learning 3. Probability Theory