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Evaluation Application for Fall 2024


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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 by UMichigan
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