Data Science Fall 2024 Capstone Project Showcase for 5th Year MIDS Students
Capstone projects are the culmination of the MIDS students’ work in the School of Information’s Master of Information and Data Science program.
Over the course of their final semester, teams of students propose and select project ideas, conduct and communicate their work, receive and provide feedback, and deliver compelling presentations along with a web-based final deliverable. Join us for an online presentation of these capstone projects.
A panel of judges will select an outstanding project for the 5th Year MIDS Capstone Award.
Judges
Tracy Huang
I bring 25 years of experience in the software and machine learning industry, with expertise in optimizing machine learning models and algorithms and developing mobile, web, and edge-device applications using modern frameworks and technologies. Throughout my career, I have co-designed and delivered high-impact enterprise products, cutting-edge infrastructures, and innovative solutions across diverse domains, including machine learning, computer vision, LLM, and software hardware integration. My expertise lies in end-to-end product development, leveraging deep technical expertise to create scalable, forward-thinking systems that drive impactful results. I have a master’s degree in data science from the University of California, Berkeley, a master’s degree in computer science from the University of Illinois at Urbana Champaign, a bachelor’s degree in computer science from Florida State University, and a Ph.D. in chemical engineering & physics from Florida State University.
Swetha Pola
Swetha is a data scientist on the economics & strategy research team at Audible, an Amazon company. Her work shapes decision-making across product, content, and marketing strategy. A 2021 graduate of the 5th Year MIDS program, Swetha also holds a B.A. in cognitive science from UC Berkeley. When she’s not pondering ways to inspire more audiobook listening, you’ll likely find her immersed in a good book, crafting pottery, or hiking through California’s stunning national parks.
Alex Wade
Alex Wade is currently a guest faculty member in the MLIS program at the Information School at the University of Washington in Seattle. Throughout his career, Alex has worked on search systems, AI/ML products and knowledge graphs at Digital Science, the Allen Institute for AI, the Chan Zuckerberg Initiative, Amazon, and Microsoft. Alex has also held systems librarian, engineering librarian, and other library roles at the University of Washington, the University of Michigan, and the UC Berkeley. Alex received his BA in philosophy from UC Berkeley and MLIS from the University of Washington.