Sophs

Student Type: International asian female Undergrad: Top 5 U.K School Major: Mathematics with Economics GPA: 4.0/4.0 Math & stat modules: Analysis I (A/A*) Analysis II (A/A*) Complex Analysis (A/A*) Real Analysis (A/A*) Probability and Statistics(A/A*) Linear Algebra I (A/A*) Linear Algebra II (A/A*) Linear Algebra III(A/A*) Mathematical Methods I (=Calculus)(A/A*) Mathematical Methods II (=Calculus II)(A/A*) Mathematical Methods III (=Calculus III)(A/A*) Economics I(=Micro and Macro)(A/A*) Economics II(=micro and macro)(A/A*) Maths and Stat modules for next year: Measure Theory, Further Probability(deeper knowledge after measure theory), Stochastic Process, Linear PDE, Programming R, Decision and Risk, Econometrics and Quantitative finance GRE: going to take in sep/early oct Research: Did a research about operator recurrent neural network (RNN) approach to an inverse problem for the wave equation with my personal tutor at university for this summer(3 months) Work Experience: Did spring internships at Goldman Sachs - Markets Division and Citadel Securities Letters of Recommendation: One from my personal tutor who supervised me for the research, one from my departmental tutor ( I got a undergraduate departmental prize in my first year for top 10 students so i think he will write a good letter for me) , and one from my lecturer who knows me quite well(I got 98.9% for this module) Miscellaneous stuff : I got undergraduate departmental prize and work as a mentor at Economics and finance society for spring internship applications for the first year students. Applications: MIT, Stanford, Princeton, UCB, UCLA, Caltech, Michigan, Yale, Georgia Tech and Columbia for mostly statistics/applied mathematics/Operational research

Student Type: International asian female Undergrad: Top 5 U.K School Major: Mathematics with Economics GPA: 4.0/4.0 Math & stat modules: Analysis I (A/A*) Analysis II (A/A*) Complex Analysis (A/A*) Real Analysis (A/A*) Probability and Statistics(A/A*) Linear Algebra I (A/A*) Linear Algebra II (A/A*) Linear Algebra III(A/A*) Mathematical Methods I (=Calculus)(A/A*) Mathematical Methods II (=Calculus II)(A/A*) Mathematical Methods III (=Calculus III)(A/A*) Economics I(=Micro and Macro)(A/A*) Economics II(=micro and macro)(A/A*) Maths and Stat modules for next year: Measure Theory, Further Probability(deeper knowledge after measure theory), Stochastic Process, Linear PDE, Programming R, Decision and Risk, Econometrics and Quantitative finance GRE: going to take in sep/early oct Research: Did a research about operator recurrent neural network (RNN) approach to an inverse problem for the wave equation with my personal tutor at university for this summer(3 months) Work Experience: Did spring internships at Goldman Sachs - Markets Division and Citadel Securities Letters of Recommendation: One from my personal tutor who supervised me for the research, one from my departmental tutor ( I got a undergraduate departmental prize in my first year for top 10 students so i think he will write a good letter for me) , and one from my lecturer who knows me quite well(I got 98.9% for this module) Miscellaneous stuff : I got undergraduate departmental prize and work as a mentor at Economics and finance society for spring internship applications for the first year students. Applications: MIT, Stanford, Princeton, UCB, UCLA, Caltech, Michigan, Yale, Georgia Tech and Columbia for mostly statistics/applied mathematics/Operational research