Evaluation Application for Fall 2024

[UMichigan]

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! 

Edited April 5, 2023 by UMichigan

[UMichigan]

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