StatsJ

Undergrad Institution: NC State Major(s): Statistics Minor(s): Math GPA: 4.00 (About 3.85 without A+ inflation) Type of Student: Domestic White Male Current Research Interests: Machine learning, Bayesian statistics Research Experience: NSF Data Science REU this past summer in Texas Data Science research lab on campus: Analyzing disinformation pathways and influence on social media platforms via VAR modeling and NLP techniques (working on this for about a year now; submitting a manuscript in the next couple of months) Coding Skills: Python, R, SAS, SQL Other Activities or Jobs: Quantitative Analyst for university baseball team Interning as a Data Engineer at a large FinTech company next Summer Math/Statistics Grades: Calc I (A) Calc II (A-) Calc III (B) Intro Stats I (A+) Intro Stats II (A+) Intro to Advanced Math (Intro to proof-based math) (A+) Linear Algebra (Proof Based) (A-) Statistical Computing (B+) Experimental Design (B) Regression Analysis (A+) Mathematical Statistics I (A+) Plan to take: Mathematical Statistics II Graduate level Linear Algebra Advanced Statistical Computing Real Analysis I'm currently a junior and looking for an assessment of my profile and some advice for identifying target programs to consider applying to next year (Fall 2025 cycle). Through my research experiences and stats/math courses I have become highly interested in machine learning and some of its theoretical underpinnings. The process of finding the right fit for a PHD and gauging an application seem somewhat tedious so any thoughts or advice is appreciated.