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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!
Hello everyone, I am a rising senior who will be applying to PhD programs in statistics with interest in stochastic processes, time series, high-dimensional statistics, and uncertainty quantification. Not really interested in biostats even though I have a couple of experiences with biomath research. Undergraduate Institution: Top 20 among public universities; big, well-known state school. Majors: Pure mathematics Minor: Computer Science GPA: 3.73/4.0 Major GPA: 3.83/4.0 Type of Student: Domestic Asian Male Courses taken: Math: Calc 3 (A) Intro Linear Algebra (A) Intro to Proofs (B) Mathematical Probability (A) Ordinary Differential Equations (A) Intro Complex Analysis (A) Elementary PDE (B+) Linear Algebra (A) Intro Real Analysis I (A) Abstract Algebra I (C+) Intro Real Analysis II (B+) Mathematical Statistics (A) Graduate Ordinary Differential Equations (A) CS: Intro to CS (A) Data Structures (B) Computer Architecture & Design (B) Algorithm Design & Analysis (A) Courses will take this fall: Graduate Real Analysis I (measure theory), Graduate Regression Analysis, Topology. GRE General Test: 164V/164Q/Writing unknown. GRE Subject Math: Not taking. Research Experience: 1 semester of exploratory research on the mathematics of cancer dynamics with professor I had for diffeq (ended after a semester since professor left uni, but we had a great connection and many great discussions). 1 mathematical biology REU; will likely result in eventual publication in a biology journal, however this isn't set in stone yet. Will be giving a talk at 2020 JMM on this research. From 2019-2020, working as research assistant with an engineering professor on quantum computing applications to environmental modeling/optimization problems. Could result in publication but would be in the spring, not while applying to schools. Working Experience: 3 semesters tutoring Calculus I, II, Intro Linear Algebra, Mathematical Probability (simultaneously). (Will continue this through graduation) 3 semesters grading for Mathematical Probability, Advanced Linear Algebra, Mathematical Statistics (one course for each of the 3 semesters). Letters of Recommendation: One from the exploratory research on cancer dynamics, one from REU advisor, one from either measure theory professor who I've had before for mathematical statistics or engineering professor I'm researching with (will decide soon). Currently considering schools only for PhD in order of ranking according to US News: UMich UPenn UWisconsin-Madison Columbia UNC PennState UCDavis JHU UCLA OSU Rutgers NYU Stern I don't want to apply to more than 10-12 schools. Please let me know what I can cross off right away and what I should consider adding to my list. It may seem like a very ambitious list given my coursework and GRE Q, but that's why I'm posting here; I don't know any better. Thank you for taking the time to read, and I'm looking forward to your input!
Hi all, Thanks in advance for helping me out. I am science graduate and hold masters in Mathematics and Economics. An online micro masters in data, economics and developmental policy. I am a trained big data analyst with 1yr of experience in Business Analytics at reputed analytics firm and 2 yr of experience in data based policy analysis with International research institute (International Water Management Institute) as a pre-doctoral fellow. I wish to do PhD from top 20 grad school in US in subject related to deveopmenral economics and public policy. On qualification side. I have GRE score 169/155/3.0 (Q, V, AW) Apart from this I have 1 paper under review for international journal, 1 Book chapter under preparation, 2 papers accepted for an international conference and 2 papers presented for international conference. Have strong recommenders. Most of research work is around policy impact analysis. It will be great if anyone can help me with following things.... 1) Shall I repeat GRE with more preparation or the score is good enough? How important is AW score?? 2) Where can I get help for good SOP? 3) Good University/Departments for PhD in developmental economics or public policy analysis that I shall consider 4) Is my profile considerable for top 10 US universities or shall I downgrade my choices?? I would appreciate any help in this regards... Thanks again