UMichigan

Thank you so much, Dr.B. As you know, choosing schools which fit to our profile and expectation is always challenging :((

I am currently in the process of preparing my application for a PhD program in Statistics for Fall 2024. As I am actively seeking ways to enhance my profile, I would greatly appreciate your advice on how to make the most of this opportunity. Additionally, I would be grateful for any suggestions on potential schools that would fall within my safe zone for admission. Below is my profile: Undergrad Institution: Top 100 State School (Top 60-70 mathematics) Major(s): BS Mathematics Minor(s): None GPA: 3.79 Type of Student: International male Asian Programs Applying: phD Statistics/Biostatistics Research Experience: - RA for a phD Economics student - One project on regression analysis - One project on statistical learning - Working on a literature review of a topic in Probability Theory - Working on a applied statistics with my professor (Applied Statistics in ML) Awards/Honors/Recognitions: - Honor Computer Science Society (I previously doubled major in Math and Computer Science) - A department scholarship - Complete departmental honor thesis in next semester - Dean's list every semester - Top 3 in a math department competition - First-place in a state math competition Pertinent Activities or Jobs: - 1 semester grading Pre-Cal, Cal 1, linear algebra, Intro to modern algebra (upper division) , advanced linear algebra (upper division), intermediate analysis (upper division) - 3 semesters grading Differential Equations - 2 semesters tutoring Cal 1/2/3, statistics for non-major Letters of Recommendation: I am thinking of my professor/advisor for departmental honor project, a professor who teaches me in probability theory and statistics theory, an a professor teaches me in real analysis Math/Statistics Grades: Lower division: - Cal 1/2/3 A's - linear algebra A - applied differential equations A Upper division: - Intro to modern algebra A - Advanced Linear Algebra B+ - Statistical Data Science B - Regression Analysis A - Time series (processing) - A research reading class A Grad course: - Probability Theory B+ - Real Analysis I A- - Real Analysis II (processing) - Statistics Theory (processing) Computer Science: - Programming 1/2 A's - Digital Logic design A - Language Paradigms A - Artificial Intelligence (processing) - Software Engineering B Other: - Took a paper reading class for phD student in Statistics - Will take 2-3 courses of grad level course next semester in stochastic process or linear algebra Thank you so much for your attention to this matter!