CASSIS

Program

Oral Presentations

• Theo Au-Yeung
  Introducing Blend+: Evaluating Pitch Arsenals as an Orchestra
• David Awosoga, Samuel WK Wong
  Optimizing Sequential Decision-Making in Volleyball Setters with Hierarchical Thompson Sampling
• Robert Bajons, Tobias Harringer
  A context-aware framework to evaluate passing decisions in soccer
• Aaron Danielson, Hasan Alanam, Denis Beausoleil
  PortalMachine: Roster-Aware Prediction of NCAA Basketball Team Efficiency in the Transfer-Portal Era
• Rose Graves, Scott Powers, Amanda Glazer, Marina Vannucci
  Bayesian Hierarchical Change Point Model for Pitcher Biomechanics
• Haisen Kang, Young Jin Ahn, Krish Mody, Michael Lopez, Ronald Yurko, Chenyan Xiong
  NFLow: A Text-Conditioned American Football World Model with Delta-Regressive Next-Delta Prediction
• Elliott Kervin, Michael Schuckers
  Here’s the Kicker: Correcting Selection Bias in NFL Field Goal Models via Inverse Probability Weighting
• Rikako Kono, Keisuke Fujii
  Interpretable Evaluation of Basketball Scoring Opportunities with Defensive Context
• Morgan Kurth, Samuel WK Wong
  Identifying Power Play Shooting Tendencies in the NHL: A Conditional Mixture of Log Gaussian Cox Processes
• Diana Ma
  Musical Chairs on Ice! Does Who Sits in the Judging Chair Decide the Podium? The Impact of Random Judge Selection on International Figure Skating Competitions
• Takumi Miura, Keisuke Fujii
  Evaluation of Catchers’ Pitch-Calling Strategies in Baseball Using Causal Inference with Pitch Sequences within Plate Appearances
• Jonathan Pipping-Gamón, Ron Yurko
  Efficient Coverage Playbook: Comparing Predictive Uncertainty Across Model Classes for NFL Big Data Bowl Problems
• Sreekar Voleti, Robert Mackowiak, Megan McAllister, Alexis McCreath Frangakis
  Quantifying Movement Similarity Using Bezier-Quaternion Fingerprints

Poster Presentations

• Luke Blommesteyn, Jaden Majumdar
  Learned Rosters Under Pressure: Roster Optimization via Graph-Scored Search and Adversarial Evaluation
• David Chen
  Can we detect NBA foul-baiting using Statistical Regression Models
• Aaron Danielson
  Three Generative Models for Structured NBA Data: Play-by-Play, Shot Clouds, and Minute Allocation
• Darby Goodall
  Expected Value Metrics in Women’s Soccer
• Yushi Liu
  Modeling and Clustering Olympic Track and Field Aging Curves Using Informatively Missing Functional Principal Component Analysis
• Connor Lynch, Hassan Rafique
  Automated Biomechanical Analysis of Lacrosse Athletes Using Deep Learning Pose Estimation
• Dave Matteo, David L. Carey, Joshua D. Ruddy, Matthew C. Varley
  A statistical framework for inferring the development of Australian Football players using in-game metrics
• Adam Noakes, Matthew Hamilton
  The Marchand Index: A Peer-Matched, Cap-Adjusted Model of NHL Fan Attention
• Hashan Peiris, Jackson P. Lautier, Himchan Jeong
  Modeling Player Injuries in the National Basketball Association: An Actuarial Approach
• Michele Sezgin
  Investigating the Efficacy of Space Control-Enhanced xG Modeling in the AHL
• Brad Stenger
  Pairwise Comparison Survey Methods using Contextual Integrity Framework to Understand Student-Athlete Privacy Perspectives
• Kazuhiro Yamada, Keisuke Fujii
  Counterfactual Evaluation of NBA Clutch-Time Shot Selection: Heterogeneous Effects and Policy Value