Data Science Fall 2025 Capstone Project Showcase
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 Hal R. Varian MIDS Capstone Award.
Judges
Amina Alavi
Director of Data Science
Doctors without Borders
Amina Alavi is the director of data science at Doctors Without Borders, where she is leading the development of a comprehensive strategy and roadmap for leveraging artificial intelligence. Her work is pivotal in transforming the organization into an AI-driven entity. She holds a master’s degree in data science from the UC Berkeley School of Information (MIDS).
Ei-Nyung Choi
Engineering Leadership Consultant
Ei-Nyung has been thriving in the tech industry for over 25 years, ranging in roles from high-level engineering individual contributor to CTO to cofounder to engineering manager to mentor. She was a senior staff engineer at Slack and an engineering mentor & advisor at the Browser Company. She has been lucky enough to be in multiple founding engineering teams, and has been a part of 6 successful exits, experiencing going to zero to one customer, getting to product market fit, helping to hyper-grow engineering teams, and everything in between. She has worked on every part of the stack, and has shipped in 9 production languages. Her specialty is in growth engineering, using analytics to inform product features. She is currently serving as an advisor to multiple startups, providing technical advice, leadership guidance, product insights. She has personally mentored over 60+ high-leveled engineers and managers in the last five years, and loves helping underrepresented people with a lot of promise & motivation get to the next stages of their careers, as well as supporting startup founders to find success.
Ricardo Jénez
CEO
GenNeuron AI
Ricardo Jénez is a co-founder and CEO of GenNeuron AI, where he is building machine learning and LLM-based systems to detect and redact sensitive information in enterprise workflows and exploring using the technology to support more effective software development. He previously held senior engineering leadership roles at Nutanix, SAP, Altiscale, and Google, and served as launch czar at Google, overseeing major company-wide product releases. Ricardo enjoys working with and advising startups, especially in AI and cloud infrastructure. He holds a master’s in computer science (machine learning) from Georgia Tech, a master’s in information and data science from UC Berkeley, an MBA from Wharton, and dual bachelor’s degrees in electrical engineering and computer science from MIT.