Undergraduate Awards

The Sigma Xi Book Award

Granted by the Sigma Xi Society and is given to the senior or seniors who have demonstrated outstanding research ability and clear writing in the senior thesis.

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

2019

  • Bulut Cakmak - “Comparing Stock Portfolio Strategies Using Stochastic Volatility Models ” Advised by Professor Mykhaylo Shkolnikov
  • Yowan Ramchoreeter - “Understanding the limits of Artificial Intelligence through Adversarial Examples ” Advised by Professor Alain Kornhauser

S. S. Wilks Memorial Prize

Awarded to a graduating senior(s) who has written the best thesis on “Statistics and its applications to solving societal problems

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

2019

  • Timothy Lou - “Improving Estimation of Factor Risk Premia via Robust Covariance Techniques” Advised by Professor Jianqing Fan

The Procter and Gamble Prize

Awarded to a graduating senior(s) who has written the best thesis in operations research or finance.

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

2019

  • Rik Nag - “Scheduling Exoplanet Observations Across A Network Of Telescopes ” Advised by Professor Robert Vanderbei
  • Arav Arora - “Machine Learning-Based Strategies to Optimize Salary Cap Allocation in the National Football League ” Advised by Professor Amirali Ahmadi

The Eric F. S. Pai ‘83 Prize

Awarded to a graduating senior(s) who has written the best thesis in finance.

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

2019

  • Gavin Zhu - “Alternative Swaption Price Modeling for Low Rate Environments ” Advised by Professor Ronnie Sircar

Admiral W. Mack Angus Memorial Prize

Given in recognition to one or more students who, through their senior thesis research, summer internships or extracurricular activities, made significant contributions to society.

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

2019

  • Connor Bridges - “Maternal and Infant Health in the United States: An Investigation of Pregnancy Outcomes ” Advised by Professor William Massey

Ahmet S. Çakmak Prize

Awarded to senior(s) for innovative research and an exceptional senior thesis.

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

2019

  • Mayee Chen - “A Quantum Version of the Multiplicative Weights Algorithm ” Advised by Professor Elad Hazan
  • Earning Yomjinda - “The Optimizer’s Guide to Money Laundering: Navigating Detection Algorithms with Naïve Beam Search” Advised by Professor Amirali Ahmadi
  • Amanda Brown - “Beat the Curve: Designing Adaptive Blood Glucose Management Strategies for Non-Pump Patients with Type 1 Diabetes ” Advised by Professor Warren Powell

Kenneth H. Condit ‛13 Prize

Awarded to a senior(s) who have demonstrated leadership through academic achievement and community service.

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

2019

  • Benjamin Laufer - “Compounding Injustice: History and Prediction in Carceral Decision-Making ” Advised by Professor Miklos Racz

The Frank Castellana Prize

Established in 1999, the prize is awarded to senior(s) for outstanding scholarship and academic achievement.

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

2019

  • Eric Chen - “Life-Cycle Asset Allocation Strategies for Individual Investors” Advised by Professor John Mulvey