General Profile:
-White Male US Citizen
-Major(s): Mathematics (BA), Economics with a Quantitative Emphasis (BA)
-Minor(s): Leadership studies
-GPA: 3.96/4.0 (Cumulative, in math, and in econ)
-GRE: 610V / 800Q / 5.5W Research Experience:
-1 Year Undergrad Research writing an honors thesis (received summa cum laude designation)
-2 Years independently researching machine learning topics, nothing published
-2 other papers published in Colorado Honors Journal and an online student Journal Other:
-1 graduate course taken as an undergrad
-1 excellent recommendation from my thesis adviser, a well respected academic in statistics and econometrics. 2-3 other strong, but less research-focused recs from former professors
-2 years experience working as a quant on Wall Street Area(s) of Interests:
-Machine learning (deep learning and ensembles, in particular)
-Data mining
-Optimization Schools Applied (CS PhD program unless otherwise specified):
-Stanford
-Carnegie Mellon's Statistics and Machine Learning PhD program
-University of Texas at Austin
-University of Washington
-University of Pennsylvania
-Georgia Tech
-Columbia
