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MrDonkey

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  1. Thanks! The fact that they are stats "lecturers" are because almost all those who teach stats classes at UCLA are lecturers. The tenure-track (assistant) professors in our stats department hardly teach any classes so I do not know any of them. I was just thinking that since one of them has title "senior continuing lecturer," which basically is a "tenure" lecturer, they might be better than adjunct math professors (who are basically post-docs).
  2. Hello everyone, I'm currently a senior planning on applying to PhD programs in statistics or any related field (eg. operations research) for Fall 2020. Undergraduate Institution: UCLA Majors: Mathematics, Statistics (Double major) GPA: 4.00/4.00 (cumulative) Type of Student: Domestic Asian Male Relavant Courses: Math: Calculus I, II, III (A+, A+, A+) Linear Algebra (lower & upper level) (A+, A+) Differential Equations (lower level) (A+) Honors Real Analysis I, II, III (A, A+, A+) Honors Complex Analysis (A+) Applied Numerical Methods (A+) Probability Theory (A+) Intro to Financial Math (A+) Statistics: Programming with R (A+) Intro to Mathematical Statistics (A) Linear Models (A) Intro to Data Analysis Regression (A+) Intro to Design and Analysis of Experiment (A+) Intro to Regression and Data Mining (A+) Intro to Computational Statistics with R (A+) Intro to Computation and Optimization (A+) Intro to Monte Carlo Methods (A) Python for Data Analysis (A+) Programming: Intermediate Programming C++ (A+) Java Language and Application (A+) Python for Applications (A+) GRE General: 165V/169Q/Writing unknown. GRE Math Subject: 940 (99%) Research Experience: No formal research experience, but will start a research beginning this fall under an assistant professor in the Stats/Communications department on computer vision A directed research project for two quarters under the guidance of a stats lecturer (more of a project than of research) on the topic of computer vision A Math Directed Reading Program for a quarter under a math PhD student on the topic of linear PDE. Work Experience: Three internships, one in finance, two in actuarial science (one in risk management with a ML project, the other is accounting related) One part-time job as lab assistant tutoring programing in a computer lab. Letters of Recommendation: Have not asked yet, but I am thinking about choosing from the following options: Three math professors that know me well from my Honors Analysis class (one is a tenure who taught me two real analysis classes, one adjunct who taught one real analysis, and one adjunct who taught me complex analysis) where I got A+ in almost all of them One stats lecturer with whom I did a directed research project on computer vision with and whom I took three stats classes (2 A+, 1A) One stats lecturer with whom I took two mathematical statistics classes with (I impressed him by getting ~90 on all the exams when the averages were all ~30) As you can see, the weakness in my profile is the lack of research experience, despite of good GPA, GRE and GRE sub. So I am wondering what level of schools do I have a good chance into? I don't have a school list yet, and would like to seek feedback of the range of schools you recommend (like for example, what is the chance of me getting into phd programs of #10-20 ranking schools or what are the specifics schools that I have a good chance for?) and if there are other programs that fit my background other than statistics (eg. should I apply to operations research or something else?). Thanks for your input!
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