Hi all - I am planning on applying to Statistics PhD programs this upcoming cycle and am looking for some feedback/thoughts on the strength of my profile. My path leans less traditional, as I did not construct my undergrad experience around applying to PhD programs. I received my B.S. in Applied and Computational Mathematics & Statistics (with a double major in Economics) from the University of Notre Dame in May 2021. I have worked in Private Equity since graduating from college, recently wrapping my two Analyst years and receiving a promotion to Associate; additional work experience is outlined below. Why do I want to go back to school? As of right now, I'd like to focus on methods in clinical trial design / evaluation / prediction and ultimately go back into industry (investment) post-PhD to focus on investments in biopharma / life sciences companies (more on my experience here, below). Interested in returning to Academia later in my career to teach, as well.
Open to any feedback on my profile - feel free to message separately as well.
Undergrad Institution: University of Notre Dame - ranked #18 nationally
Major: Applied and Computational Mathematics & Statistics
GPA: 3.94
Type of Student: Domestic White Female
Research Experience:
Internship with a multi-strat Hedge Fund with >$30Bn in AUM
- worked closely with the Healthcare Arbitrage investment team and Data Labs team to build statistical models to predict the outcome of late-stage biopharma / life sciences clinical trials & subsequent stock price movement
Writing Intensive Economics Course
- semester-long research assignment to evaluate the causal relationship between parental divorce and academic performance using regression analysis building on prior publications
Awards/Honor/Recognition:
Dean's List all eight semesters
magna cum laude
Suzanne and Walter Scott Merit Scholar
Activities/Jobs:
TA - Monetary Policy
TA & Peer Tutor - Econometrics
TA - Introduction to Corporate Finance
Course Tutor: Business Statistics
Varsity Athlete
Summer Internship 1: Long/Short Equities intern at a multi-strat Hedge Fund w/>$30Bn in AUM
Summer Internship 2: Healthcare Arbitrage intern at same fund
Post-Grad Job Experience: Private Equity Analyst (2 years), Private Equity Associate (current, promoted July '23)
Grades:
Undergrad Courses: Calc 3 (A), Applied Lin Alg (A), Probability (A), Diff Eqs (A), Scientific Computing in C++ (A), Mathematical Statistics (A), Econometrics (A)
Upper-Level Electives: Mathematical/Computational Modeling in Neuroscience (A), Numerical Analysis (A), Computational Statistics (A), Mathematical / Computational Modeling (A), Topics in Applied Mathematics: Epidemiological Modeling (A)
Languages Covered: C++, Stata, Python, Matlab, R
LOR:
Statistics Professor (PhD from NC State)
Economics Professor (had for Econometrics and research elective, PhD from Boston University)
Mentor / Direct Supervisor on the Healthcare Arbitrage team & the hedge fund I spent 2 summers with (Masters from Cambridge, MD/MBA from Harvard)
GRE: taken July 2022
V:166, Q:169, W:5.0
Current Schools I'm interested in:
Columbia, Harvard, NYU, Boston University, Yale, MIT (would be Mathematics, they don't have a Stats program), Northwestern
Open to target school suggestions - primarily targeting schools in the Northeast or Midwest (originally from Chicago, currently Boston-based).
