Past Undergraduate Awards
The Sigma Xi Book Award
2023
- Robert Antony Rubin - “Using Expected Goals to Forecast the English Premier League” - Advised by Elizaveta Rebrova
2022
2021
- Anika Yardi - “Using Monte Carlo Markov Chain Methods to Understand the Mathematics and Visualization of Gerrymandering in Politically Competitive Districts” Advised by Robert Vanderbei
- Kabir Sarita - “Style Transfer in Poetry” Advised by Boris Hanin
- Fatomata Konteh - “Theory in Practice: A Study of Momentum Definitions and Market State on Momentum Returns in the South African Market” Advised by Mykhaylo Shkolnikov
2020
- Neil Slighton - “Optimization for Planning and Design of Regional Mini-Grid Development in Rural India” Advised by Eric Larson
- Ashley Willingham - “Developing Models for Predictive Analytics in Track and Field” Advised by Amir Ali Ahmadi
- Kara Dowling - “A Multi-Agent Stochastic Control Model for Adversarial Planning in Naval Operations” Advised by Warren Powell
- Tan Shanker - “The Sky's the Limit; Predicting the Expansion of Commercial Aviation in Dubai” Advised by Ludovic Tangpi
S. S. Wilks Memorial Prize
2023
- Alex Luo - “More is Less is More: Using Autoencoders for Feature Extraction in M&A Deal Outcome Prediction” - Advised by Misha Shkolnikov
2022
2021
- Kevin You - “Short-Term Stock Price Prediction Using High-Dimensional Techniques” Advised by Jianqing Fan
- Irina Liu - “Language Conventions Across Communities: A Hierarchical Bayesian Approach to the Theory of Generalization” Advised by Matias Cattaneo
- Wilbur Wang - “A Machine Learning Approach to Guiding Altruistic Strategic Behavior” Advised by Jason Klusowski
2020
- Michael Li - “The Calibration of the Heston Model Using Neural Network Pricing Approximations” Advised by Mete Soner
- Tony Chen- “Factor-Adjusted Regularized Model Selection for Logistic Regression in the Presence of Missing Data” Advised by Jianqing Fan
The Procter and Gamble Prize
2023
- Carolina Marsella - “Time and Frequency Volatility Connectedness Among European Equity and Commodity Markets Since the Russian Invasion of Ukraine” - Advised by Rene Carmona
2022
2021
- Zachary Holecek - “Interfirm Networks: Systemic Risk and Market Returns” Advised by Miklos Racz
- Isabella Faccone - “Tools to Understand 2016 Voter Influence Tactics in Comparison with the 2020 Election: Applications of Network Topology, Information Cascades and Rumor Recurrence” Advised by Miklos Racz
- Cristina Hain - “The Virulence of a Tweet: The Effects of Twitter Language on COVID-19 Spread” Advised by Prof. Jason Klusowski
2020
- Millian Gehrer - “Tailoring the NHS Health Check: Targeted, Cost-Effective Screening for Cardiovascular Disease Prevention” Advised by Amir Ali Ahmadi
- Madhu Shridharan - “The Little Wind Farm that Could: A Comparative Analysis of Lookahead Policies for Energy Storage Problems” Advised by Warren Powell
The Eric F. S. Pai ‘83 Prize
2023
- Justin Ong - “A Regime-Switching Approach to Portfolio Construction” - Advised by John Mulvey
2022
2021
- Nabil Yessuf - “Predicting Mortagage Default Risk Using Cost-Sensitive Learning and Resampling Techniques: An Empirical Classification Analysis with Single Family Loan-Level Data” Advised by Ludovic Tangpi
- Christopher Yang - “Trading under Crisis: A Study of Stock Pricing in the COVID Market” Advised by Jianqing Fan
- Zachary Abraham - “A Machine Learning Approach to Post-Earnings Stock Price Predictions” Advised by Mete Soner
2020
- Ryan Gao - "Random Forest and Gradient Boosting Applications in Forecasting Corporate Capital Structure” Advised by Margaret Holen
Admiral W. Mack Angas Memorial Prize
2023
- Aidan Lynott - “Developing Tools for Identifying and Analyzing Amtrak’s Most Delayed Trains” - Advised by Jason Klusowski
- Bradley Moorehead - “Emotion-Style Transfer for Music Using Deep Learning” - Advised by Jason Klusowski
- Tony Ye - "Computational Experiments on Some Novel Tree-based Classification Algorithms" - Advised by Jason Klusowski
2022
2021
- Eileen Wang - “Diagnosing Racial Bias in Machine Learning: An Examination of Fairness in Medical Appointment Scheduling Optimization Models” Advised by Robert Vanderbei
2020
- Mick Sornwanee - “Multi-Regime, Goal-Based Retirement Solutions: Sensitivity Analysis and Post-Retirement Performance Comparison of Dynamic Strategies” Advised by John Mulvey
- Benjamin Schiffer - “Approximate Trace Reconstruction and Related Results” Advised by Miklos Racz
Ahmet S. Çakmak Prize
2023
- Emre Onal - “Retrieval-Based Systems for Open-domain Question Answering” - Advised by Boris Hanin
2022
- Wesley Domsalla - "Exploding and Vanishing Gradients in High-Channel Convolutional Neural Networks" Advised by Boris Hanin
2021
- Joseph Sartini - “Direct Determination of Object Trajectories: An Alternative to Traditional Object Detection and Tracking in Autonomous Vehicles” Advised by Alain Kornhauser
- Alex Cheng - “PrimeTime: A Case Study of an Autonomous Last-Mile Parcel Delivery Network in New Jersey” Advised by Alain Kornhauser
- Daniel Gitelman - “FOMO Fever: How the Democratization of Finance Quashed Efficient Markets” Advised by Ronnie Sircar
2020
- William Dong - “Pigskin Predictions: Estimating In-Game Win Probabilities for American Football” Advised by Mykhaylo Shkolnikov
- David Zhou - “Deep Learning for Pricing and Hedging Options and Optimizing Portfolios with Applications” Advised by Ronnie Sircar
- Adam Chang - “Networks in a World Unknown: Public WhatsApp Groups in the Venezuelan Refugee Crisis” Advised by Miklos Racz
Kenneth H. Condit ‛13 Prize
2023
- Justin Luo - “Identifying Drivers of Cyclical Returns in Semiconductor Equities: A Jump Model Approach - Advised by John Mulvey
2022
- Wesley Domsalla - "Exploding and Vanishing Gradients in High-Channel Convolutional Neural Networks" Advised by Boris Hanin
2021
- Alan Wong - “COVID-19 Misinformation Spread: A Multi-dataset Analysis of Engagement, Propagation, and Sentiment Polarity” Advised by Miklos Racz
2020
- Audrey Cheng - “Unifying Caching Objectives with Learning Relaxed Belady” Advised by Wyatt Lloyd
- Rayleen Hu - “An Aging Society: Implications of Population Control Policies on the Chinese Social Security System” Advised by Mete Soner
The Frank Castellana Prize
2023
- Karena Yan - “Equity, Mobility, and Sustainability: Analyzing Geographic and Demographic Disparities in Urban Bikeability” - Advised by Miki Racz
- Asa Hamot - “Catching the Bubble: Analyzing Asset Bubbles Using Mean Field Game Simulations” - Advised by Ludo Tangpi
2022
2021
- Taishi Nakase - “Measles Redux: Modeling Vaccination Campaigns Under Resource Limitations in Northern Vietnam” Advised by Mykhaylo Shkolnikov
2020
- Nicholas Johnson - “Sequential Stochastic Network Structure Optimization with Applications to Addressing Canada's Obesity Epidemic” Advised by Miklos Racz
