Posters presenters and project titles:

Jordi Bofill: Yale Invests with Style: The Yale Endowment through a Quantitative Framework

Katherine Brumberg: Incorporating Past Evidence into the Analysis of a Current Trial

Allen Chang: A Comparison of Hypervolumes and Generalized linear Models for Species Distribution Modeling

Dawn Chen: Combination of Genetic and Lifestyle Risks Affect Incidence and Recurrence of Coronary Artery Disease

Gena Coblentz: Early Preeclampsia Prediction Using Low-Cost Data

Joel Cockburn: An Iterative Approach to Modeling Daily Fantasy Baseball Player Performance

Daniel Diaz-Vita: A Quantitative Approach to Predicting Metacritic Scores

Tuan Doan: Transfer Learning to develop a generalizable Moral Outrage classifier

Angus Fong: Decoding neural representations of natural language through unsupervised context models

Maria Gargiulo: Understanding Locality Sensitive Hashing for Record Linkage with Applications to Human Rights Violation Data

Sienna Gough: The Dependence of Bank Jumbo Loan Supply on Measures of Bank Funding

Arizona Greene: Investigating Depression Trends across Racial Groups in South Africa

Luke Hellum: Data Cleaning, Deduplication, and Entry Matching in a Carbon Commitment Database

Colin Hill: Diversity and Inequity in Connecticut Public High Schools: Measuring and Investigating Socioeconomic Disparities between Schools and Communities

Kevin Hu: Analysis on Genre Novelty in Anime Success

Tim Jeon: Human Capital Development in Early Childhood: Estimating Production Function of Cognition in Vietnam

Shah Khan: Convergence of Generative Adversarial Network (GAN) Training under Total Variation Loss

Sunnie Kim: Synthetic Data Generation for Mixed-Type Data

Brian Kitano: Dynamic Language Models for Exploring Early Modern English Texts (1473-1800)

Sreejan Kumar: The Effect of Different Goal-directed Deep Networks on Reconstructing Natural Object and Scene Image Stimuli from Brain Activity

Natasha Liggett: The Effect of Religion and Spirituality on Outcomes of Physical and Mental Illnesses

Jackson Simon: The Value Slump

Gigi Stark: Developing Machine Learning Models for Breast Cancer Risk Prediction

Zen Tang: Generative Adversarial Modeling for Imputing Single-cell RNA Sequencing Data

Aaron Tannenbaum: From Incidents to Incidence: Augmented Maximum Entropy Models  of Landslide and Wildfire Distribution in the Hindu Kush Himalayan Region

Ngan Vu: Observations and Analyses of Multi-layer Graph Convolutional Networks

Gloria Wu: Understanding the Health Impacts of Agent Orange Exposure on Vietnam War Veterans

Evaline Xie: Analysis of Emergency Response Times to Opioid-related 911 Calls in Cincinnati, OH

Ka Yin Keniel Yao: Virtual Politics: A Statistical Analysis of Subscription, Comment and Voting Patterns on Reddit’s r/politics

Gabriel Zanuttini-Frank: Foul Play: Examining Player Behavior in Response to Foul Trouble

Thomas Zhang: Greedy Algorithms for Sparse Atomic Optimization: Strong Approximation Guarantees under Incoherence