Welfare Maximization in the Airplane Problem
Chadwick, A. (2024). "Welfare Maximization in the Airplane Problem." Dartmouth Digital Commons.
CV
Education
- Ph.D in Computer Science, University of Rochester, 2028 (expected)
- B.A. in Computer Science and Economics, Dartmouth College, 2024
Honors and Awards
NSF Research Stipend International Research Experience for Students IRES Program (2023)
New York Andrew S. Macdowell Jr. 1944 Scholarship Fund Dartmouth Club of Rochester (2020-2024)
Research Experience
- The University of Rochester: Ph.D. Research in Computer Science (August 2024 - Present)
- Working on developing a framework to assess fairness in the virtual democracy setting.
- Topics: Algorithmic game theory, computational social choice, fairness, machine learning, algorithms
- Dartmouth College: Thesis Research (September 2023 - June 2024)
- Published a year-long thesis advised by Professor Hsien-Chih Chang on matching passengers to airplane seats
- Topics: Nash Social Welfare, matching algorithms, linear programming
- National Science Foundation: Research Fellow (June - August 2023)
- Conducted a project on virtual makeup try-on. Submitted and presented an accepted Technical Communication to SIGGRAPH Asia.
- Topics: Computer graphics, neural networks, cosmetic rendering, makeup transfer, machine learning.
Publications
MicroGlam: Microscopic Skin Image Dataset with Cosmetics
Chong, T., Chadwick, A., Shen, I., Xie, H., Igarashi, T., (2023). " MicroGlam: Microscopic Skin Image Dataset with Cosmetics 2." SIGGRAPH Asia.
Talks
Improving Accuracy in Virtual Makeup Try-On
Talk at International Symposium on Intelligence Design, Remote
MicroGlam: Microscopic Skin Image Dataset with Cosmetics
Conference proceedings talk at SIGGRAPH Asia, Sydney, Australia
Generating a Microscopic Skin Image Dataset
Talk at Japan Advanced Institute of Science and Technology, Nomi, Japan
Teaching Experience
Work Experience
- DUST Identity: Software Engineer Intern (September - December 2022)
- Created an internal web app that serves as an admin portal, allowing DUST’s customer success team to monitor customer account health and view data that indicate how each customer is using the product.
- Frontend written in React-Admin and Javascript; Backend utilizes FastAPI and was written in Python
- IBM: Accelerate, Software Track (June - August 2022)
- Virtually worked on frontend website development projects in HTML/CSS, JavaScript, and React
- Participated in workshops on backend development and security
Skills and Research Interests
- Areas of Interest: Game Theory, Algorithmic Economics, Computer Graphics, Human-Computer Interaction
- Spoken Languages: English, Russian, Spanish
- Programming Languages: Python, Javascript, React, HTML/CSS, Java, C, GLSL
- Coursework: (Graduate) Advanced Algorithms, Artificial Intelligence, PhD Research, Problem-Solving Seminar, (Undergraduate) International Finance, Monetary Policy and the Macroeconomy, International Trade, Econometrics, Network Science and Complex Systems, Macroeconomics, Microeconomics, Full-Stack Web Development, Computer Graphics, Algorithms, Machine Learning, Discrete Mathematics in Computer Science, Differential Equations, Software Design and Implementation, Problem Solving via Object-Oriented Programming, Multivariable Calculus.
Other positions of Responsibility
- President: Women in Computer Science at Dartmouth College (2022-2024)
- Violinist: Individual Study Program under Omar Chen Guey at Dartmouth College (2022-2024)
- Volunter: David’s House through Kappa Kappa Gamma