capstone_project_banner_2-01.png
Webinar

Data Science Spring 2023 Capstone Project Showcase

Thursday, April 27, 2023
5:00 pm to 7:30 pm PDT
Online

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. Six teams will present for twenty minutes each, including Q&A.

A panel of judges will select an outstanding project for the Hal R. Varian MIDS Capstone Award.

Join the online showcase

Judges

Julia Meo

Dr. Julia Meo holds a Ph.D. in physics from the University of Pennsylvania. Her professional experience ranges from creating recommender systems using natural language processing to time series analysis, and forecasting. During her time at Zillow, Dr. Meo’s research has focused on creating data products that characterize the housing economy. Her in-depth analysis of housing market dynamics, pricing trends, and investment opportunities has provided valuable insights to inform policymakers, real estate professionals, and investors. Her work has been instrumental in shaping strategies and decision-making in the real estate industry, driving growth and innovation.

Ryan Neo

Ryan Neo, MIDS ’20, is a data science leader with over a decade of experience in finance, consulting and tech. He currently leads a data science team at Meta focusing on advertiser products. He enjoys consulting on academic and nonprofit research projects in his spare time. Ryan notes that his favorite course within the MIDS program is DATASCI 241. He currently lives in San Francisco with his wife, daughter, and cat.

Pauline Wang

Pauline Wang is a data science manager with extensive expertise in machine learning and data analytics. In her current role as manager of machine learning triage at IBM Watson Orders, she leads the triage data analytics capability to guide and prioritize the development of AI-powered voice agents for quick service restaurants (QSRs).  She has been instrumental in building tools and processes that have expanded the team’s capability from just 5 to over 100 live restaurants. Prior to joining IBM, Pauline served as director of research at Elliott Management Corporation, where she leveraged unstructured data to identify investment opportunities. When she is not busy training robots, Pauline enjoys dancing, cooking, and keeping up with the latest trends in AI technologies.

Last updated:

April 25, 2023