Hi all,
I'm planning on applying to statistics PhD programs for next cycle (entry in Fall 2021) and would love an honest assessment of my profile, with strengths and weaknesses, and recommendations on programs to apply. My interests broadly are statistical machine learning with applications to healthcare and social sciences!
Undergrad Institution: Top LAC Majors: B.S. Mathematics and Economics GPA: 3.97/4.0
Type of Student: Domestic White Male
GRE General Test:
Q: 170V: 170W: 6.0GRE Subject Test in Mathematics: 760 (71%) - April 2019
Programs Applying: Statistics PhD
Research Experience:
In my job since graduating college I have been working on health economics and epidemiology studies, and have a number of co-authorships on publications (although not directly related to statistics). Hoping to move away from biostatistics even though it's more relevant to my current work experience (I am aware biostats and stats departments are very similar!). I also presented an economics research paper at a well known economics conference with my thesis advisor from school since we wrote a continuation of my thesis after I graduated.
Awards/Honors/Recognitions:
Summa cum laude, award for top economics student in graduating class. Pertinent Activities or Jobs:
1.5 years of research experience in health economics and epidemiology in my job.
Letters of Recommendation:
I have two math professors who know me well and said they would be happy to write me strong letters (both of them offered when I mentioned I was thinking of applying to PhD programs), one of them very well known in their field. The other is my thesis advisor from the economics department. None of them strictly from statistics department, but hopefully they are relevant!
Coding Skills:
R, Python
Relevant Classes, Grades: All undergraduate level ?
Mathematics: Statistics (A); Multivariable Calculus (A); Linear Algebra (A); Discrete Mathematics (A); Mathematical Modeling and Computation (A+); Data Mining and Machine Learning (A); Financial Calculus and Probability (A); Real Analysis I (A+); Real Analysis II (A); Abstract Algebra I (B+)
Other Relevant: Introduction to Programming with C++ (A). Advanced Econometrics (A).
Comments:
1. I think that my biggest weaknesses are my lack of graduate classes (I added a math major very late in my career at the recommendation of one of my letter writers from the math department) and while I have research experience in publications in a related field, none of it is directly statistics. Also, I took the math GRE after a year out from college and was definitely rusty - I feel like it's a respectable score but am unsure if it will help or hurt my application for those that don't explicitly require it (i.e. not Stanford!) Could you guys help me get some clarity on that? I know it's a hotly debated subject (pun intended) on this forum!
2. One recommender said I would have a solid shot at some top 10 programs but I am not feeling as confident - what do you guys think? I will definitely have a few "shoot for the stars" schools on my list that really align with my research interests of machine learning and social science applications (Berkeley, Harvard, Michigan) but I need to add some more realistic schools I think, unless you guys feel otherwise!
Thanks you all so much for reading - I've learned a lot from going through this forum and would love your guys' input!