Projects

H. Luo. “Predicting Batting Performance with Ensemble Neural Nets and Data Augmentation in Baseball Simulator”. September 2020. [pdf]

H. Luo. “Identifying Optimal Draft Strategies in a Baseball Simulator”. June 2020. [pdf]

H. Luo, A. Wu. “Predicting Well Functionality: Limitations of Survey Data”. WellDone data science internship project. October 2018.

B. Liang, S. Le, H. Luo, et al. “Food Insecurity in Alameda County: Modelling Food Need and Access”. Statistics Undergraduate Students Association project. December 2017. [pdf]

H. Luo. “Asian Americans in Hockey”. Writing profiles and updates on hockey players of Asian descent. November 2018-Present. [Link]

Course Projects

S. Kale, H. Luo, A. Yeh, A. Zhu. “Yelp Review Rating Prediction with Stacked LSTMs and Data Augmentation”. Final project for deep neural networks course. May 2020. [pdf]

H. Luo. “Modelling Bike Sharing Data: GMM, Causal Inference, Bandits, and Privacy”. Final project for data and inference course. December 2019. [pdf]

Y. Bhate, A. Kotak, H. Luo, A. Mandalik, V. Parikh. “Modelling Politician Approval Ratings”. Final project for time series course. November 2019. [pdf]

S. Damerdji, H. Luo. “Cloud Detection in the Arctic”. Final project for machine learning course. May 2019. [pdf]

H. Luo, A. Mandalik, J. Yu. “Unconvicted Inmates in American Jails”. Final project for survey sampling course. May 2019. [pdf]

H. Luo. “Location of Palindromes in DNA Sequence of Human Cytomegalovirus”. Final project for statistical theory course. March 2018. [pdf]