CV
Education
- B.S. in Mathematics, Computer Science Florida Southern College, 2017
- Ph.D in Computer Science, University of Colorado, Boulder, 2017-present
Keywords
Property Elicitation, Proper Scoring Rules, Surrogate Loss Functions
Research experience
- Graduate Research Assistant, Summer 2017-present
- Working under Dr. Rafael Frongillo at CU Boulder
- Working on the design of Fisher consistent surrogate loss functions
- Undergraduate Research Assistant, August 2016 - May 2017
- Worked with Dr. H. David Mathias at Florida Southern College
- Created and empirically tested a model to test if optimizing for mutual cooperation improves overall performance in the Iterated Prisoner’s Dilemma game.
- Undergraduate Research Assistant, Summer 2016
- Worked with Dr. Ali Borji at University of Central Florida
- Used Machine Learning to predict the height of an egocentric (first-person) camera off the ground.
Awards and Fellowships
- National Science Foundation Graduate Research Fellowship (2019 - ~2022)
- ACM Conference on Economics and Computation Algorithmic Game Theory Mentoring Workshop Grant (2018, 2019)
- Joint Meeting in Mathematics Student Travel Grant (2017)
Publications
Talks
Unifying lower bounds on prediction dimension of convex surrogates
Talk at Neural Information Processing Systems 2021, Virtual
Fairness and Discrimination through the Dual Lens of Mechanism Design and Machine Learning
Tutorial at ACM Conference on Economics and Computation, Budapest, Hungary
Designing surrogate loss functions for general prediction tasks
Talk at Qualifying PhD Exam, Boulder, CO
Property Elicitation as a tool for understanding Consistent Polyhedral Losses
Presentation at RIKEN AIP Learning Theory Seminar, Tokyo, Japan/Virtual
Fairness and Discrimination in Mechanism Design and Machine Learning
Talk at AI for Social Good (AI4SG) Workshop at Harvard CRCS 2020, Virtual
Embedding Dimension of Polyhedral Losses
Presentation at Conference on Learning Theory (COLT) 2020, Virtual
Calibrated Surrogates for the Abstain Property
Poster at CU Boulder Institute of Cognitive Science , Boulder, Colorado
An Embedding Framework for Consistent Polyhedral Surrogates
Poster at Neural Information Processing Systems 2019, Vancouver, Canada
Calibration of Convex Surrogate Losses via Property Elicitation
Talk at Preliminary PhD Exam, Boulder, CO
Convex Elicitation of Continuous Properties
Talk at Neural Information Processing Systems 2018, Montreal, CA
Convex Elicitation of Continuous Properties
Talk at 2018 ACM Conference on Economics and Computation, Ithaca, NY
Teaching
Service and leadership
- Program Committee Mechanism Design For Social Good (MD4SG) Workshop 2020
- Program Committee AI For Social Good (AI4SG) Workshop 2020
- Neural Information Processing Systems (NeurIPS) 2020
- Women in Machine Learning (WiML) Reviewer 2019
- CU Boulder Graduate Student Association Vice Chair (Feb 2018-present)
- Discovery Learning Apprenticeship Graduate mentor (January-April 2018)