Halla Yang

Competed in machine learning competitions on Kaggle. http://www.kaggle.com/hallayang * (Feb 2019) Winner, NFL Punt Analytics Challenge (see http://www.nfl.com/news/story/0ap3000001015435/article/nfl-names-1st-and-future-safety-innovation-winners and https://www.kaggle.com/c/NFL-Punt-Analytics-Competition ) * (Dec 2017) Won 6th prize (out of 518 teams) in the $1.5 million TSA Passenger Screening Algorithm Challenge (see https://www.dhs.gov/science-and-technology/news/2018/07/09/news-release-st-announces-winners-15m-prize-competition and https://www.kaggle.com/c/passenger-screening-algorithm-challenge ) * (Sep 2015) Finished 2nd out of 1076 entrants in the Recruit Ponpare Coupon Purchase Prediction competition. (see https://www.kaggle.com/c/coupon-purchase-prediction) * (Jul 2015) Placed 9th out of 661 entrants in the Diabetic Retinopathy Detection Challenge. (see https://www.kaggle.com/c/diabetic-retinopathy-detection) * (Feb 2013) Won 1st place in the invitation-only Pfizer Volume Prediction Competition (participation restricted to top U.S.-based Kaggle competitors, see https://www.kaggle.com/c/RxVolumePrediction) * (Oct 2012) Placed 6th out of 236 entrants in the Merck Molecular Activity Challenge (see https://www.kaggle.com/c/MerckActivity) * (Apr 2025) Placed 34th out of 2,213 entrants in the AI Mathematical Olympiad Progress Prize 2 (see https://www.kaggle.com/competitions/ai-mathematical-olympiad-progress-prize-2 ) * (Sep 2025) Placed 24th out of 1,516 entrants in the Stanford RNA 3D Folding challenge (see https://www.kaggle.com/competitions/stanford-rna-3d-folding/ )

Developed optimal investment strategies for pairs trading. Identified and tested a novel alpha-generating signal for retail and restaurant stocks using a hand-collected dataset. Teaching assistant for Professor Robert Merton.