greeeeny

UCSD also requires MATH-GRE

Hello. I'm currently applying for PhD programs for Statistics/Industrial Engineering for Fall 2020. My main goal is to work as a faculty member, my main interests would be in stochastic process, econometrics, nonparametric method. undergraduate: Top15 or 20 in my country, International Major: Applied Mathematics GPA: 84.8/100 (Major: 86/100, top10%) Coursework: Mathematics Analysis, Linear Algebra, Real Analysis, Complex Variables Functions, Abstract Algebra, Probability Theory, Topology, Mathematic Statistics, Multivariate Statistics, Number Theory, ODE, Mathematic modeling, Time Series, Linear Models, etc. Awards/Honors: University Excellent Graduate, University Merit Student for each year, University Scholarship. Some mathematic modeling competitions and mathematic contest (I think not very important, just can embellish my CV). graduate: Top60 in usnews rank, International Major: Quantitative Fin GPA: 3.6/4.0 Coursework: Stochastic Finance, Applied Stochastic Process, Derivative Pricing, Machine Learning, Advanced Econometrics, Real Analysis, Investment, etc. Awards/Honors: A scholarship(4%), Academic Excellent Award. Exchange: In Switzerland, a university with very good reputation in Management and Finance. Demographic: Asian Female Research Experience: Master's thesis(in progress) about parameter estimation. Research assistant working on deep learning approximation for stochastic control problems. A project related to option pricing that implemented SABR model and Heston model respectively. A project about stochastic dynamic programming tutorial and a replication of a paper on EER(but results not very ideal, so I didn't mention this on my resume). TA experience for about two years, includes one PhD level course "Statistics". Letters of Recommendation: President of my undergraduate university(professor, talk about my academic performance), my current thesis advisor (professor, expert in time series), a professor from Yale (I was his teaching assistant in a program). GRE scores: V - 158(80%), Q - 168(93), AWA - 3.5(39%). Sub-Math 860/87%. Applying to(all PhD): UCLA(Stat) UCD(Stat) UCSD(Stat) UCSB(Applied Stat) UIUC(Stat) PSU(IE) UMinnesota(ISE) Boston Uni(Stat) Rice(Stat) UFL(Stat) Based on my profile, do I have a good chance at the programs listed above? I'm really nervous that I could get any offers. Since I know I've got very obvious shortcomings. A lot of Applicants have very high undergraduate GPA but I don't, and I don't have any published papers. Any advice and suggestions would be highly appreciated