Summer CURP Cohort’s Final Presentation
The first-ever summer (and third overall) CURP (CDS Undergraduate Research Program) just wrapped up, and students presented their final projects last week on August 11. For those who may not be familiar, CURP is a research mentorship program that gives talented students the opportunity to work hands-on with CDS faculty alongside a community of their peers.
The presentation session was facilitated by our Director of Administration and Operations, Remi Moss. CURP students presented their research projects, which covered a diverse range of topics within data science.
The list of projects presented by each student can be found below:
- Discrimination in Policing by Trisha Ailneni, advised by George Wood
- Reconstructing audio signals from useful representations by Jared Burke, advised by Brian McFee
- Automated public health decision tree by Ethan Delgado, advised by Dennis Shasha
- Learning to Recommend Academic Articles by Ricardo Estefano, advised by Zhengyuan Zhou
- Discrimination in Policing by Sarah Fazio, advised by George Wood
- Discrimination in Policing by Tadius Frank, advised by George Wood
- Artificial Intelligence and Machine Learning Approaches to Understand Autoimmunity by Woodward Galbraith, advised by Jacopo Cirrone
- Learning to Recommend Academic Articles by Songmao Li, advised by Zhengyuan Zhou
- Teaching and learning from others in humans and machines by Nicole Luzuriaga, advised by Todd Gureckis
- Improving the Architecture for the Vision Transformer by Jacob Oddi, advised by Elena Sizikova
- On the Inductive Bias of Gradient Descent and Representation Geometry by Kierra White, advised by SueYeon Chung
It was an academically robust and illuminating presentation for the students and mentors alike who were in attendance.
To view the members of the summer 2022 cohort, please visit the Summer 2022 CURP Cohort webpage.
For more information on CURP, please visit the CURP webpage.
By Ashley C. McDonald
