bob loblaw Posted September 26, 2020 Share Posted September 26, 2020 (edited) Here's my profile! Just for context, I'm a few years removed from undergrad and have beefed up my proof-writing background/rigorous math background since graduating. ______ Undergrad Institution: UC Berkeley Major: Statistics || GPA: 3.85 Type of student: Domestic Male, in-state CA student GRE: Q-166, V-164, W-4.5 Relevant Courses During Undergrad: Math: Linear Algebra - non-proofs (A) Single & Multivariate Calculus (A's) Stats: Mathematical Stats (A+) Time Series Modeling (B+) Statistical Learning (A) Statistical Computing (A+) Linear Modeling (B+) Misc: Intro CS (A), EE course in Power Systems Engineering (A), Physics (A's) Post Undergrad: Math: Linear Algebra proof-based (B+, took it 2 years after graduation super rusty) Elementary Analysis (A - from UIUC) Independent Coursework: Real Analysis, Group Theory, Introductory Measure Theory with Oxford PhD Work Experience: 2.5 years as a quantiative analyst + data science internship Research: * 9 months in atmospheric science doing matrix factorization research * Working as a data analyst at the CA Dept. of Healthcare Services * 1 independent ML research project with well-known data scientist (PhD from UCSF) * 1 publication in a public policy journal as an undergrad. Letters: * Former Berkeley Maths Lecturer (DPhil from Oxford) * Former Visiting Stats Professor at Berkeley * 1 professional reference Research Interest: Bayesian Methods, Spatial Statistics, Environmental Statistics Programs I'm Considering: Ideal: UCLA (Biostats or Stats), UCSC, UCD (Stats) Other: UC Irvine, UCD (Biostats) Safety: UC Riverside, USC Keck Edited September 26, 2020 by bob loblaw Link to comment Share on other sites More sharing options...

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