My name is Mike Nguyen. My research interests include
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Postdoc in Marketing
University of Southern California
PhD in Marketing - minor Statistics
University of Missouri
MA in Economics - Econometrics and Quantitative Economics
University of Missouri
MBA in Marketing Analytics, Corporate Finance
University of Delaware
BBA in Marketing, International Business
Florida International University
R, SAS, STATA, SPSS
Python, NetLogo, Gephi
NEO4j, MongoDB
MathArena publishes every graded attempt, so its AIME 2026 leaderboard can be tested directly. Resampling the 30 problems, 25 of the 31 models with full coverage have a 95 percent rank interval that includes first place, and an exact paired test separates only one of the 29 imperfect models from a perfect score. Sixteen problems were solved by every model on every attempt, and five carry 80 percent of the spread. Intervals computed over problems rather than attempts run a median 1.7 times wider, because they answer a broader question.
Polars 2.0 runs lazy queries on the streaming engine by default, and the streaming engine does not guarantee row order. Running five order-dependent queries 20 times each on the same file, Polars 1.44.2 matched the explicit-order answer every time, while Polars 2.0.0 and 2.1.0 got four of the five wrong on every run, with a different answer each time and only a handful of customers affected. Keeping order in the join, or sorting inside the expression, fixed every run. Switching back to the in-memory engine did not fully restore the old answers, and DuckDB in R behaves the same way without an ORDER BY.