Sep 7, 2021

August 2021 MICS and MIDS Capstone Award Winners

This August we had three Capstone Showcase events: for the Master of Information and Cybersecurity (MICS) program, the Master of Information and Data Science (MIDS) program, and the 5th Year MIDS program.

Capstone projects are the culmination of the MICS and MIDS students’ work in their respective I School programs. 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.

Congratulations to our winners, and to all the students who completed Capstone this summer!

Lily L. Chang MICS Capstone Award, August 2021

Full-Loop Privacy
Alanna Franklin, Pragathi Gopal, Hakeem Oseni, and Ryan Tenorio

Practicing privacy by design is a multidisciplinary effort that requires organizations to shift left and detect potential issues before they occur. Through a taxonomy of privacy risk(s) from the policy level to the technical level, Full Loop Privacy leverages the systems and languages stakeholders are already familiar with to automatically find and communicate issues during development and allow teams to collaborate with confidence.

Read a Q&A with the Full-Loop Privacy team.

MICS Capstone Video Award

The Internet of Secure Things (IoSTings) is the winner of the MICS Capstone Video Award.

Hal R. Varian MIDS Capstone Award, August 2020

Screen Ahead Rx
Blake Allen, Tony Di Sera, Simon Li, Kevin Martin, and Victor Wang

Screen Ahead Rx is a tool designed for individualized cancer treatment. The model predicts the anti-cancer drugs that will elicit an "exceptional response" in the cancer patient, based on the tumor's genomic profile and the drug's chemical structure.

Read a Q&A with the Screen Ahead Rx team.

Honorable mentions

Capstone projects SunCast and Foster Care Matcher received honorable mentions.

5th Year MIDS Capstone Award, 2021, Sponsored by Databricks

Detección de Cataratas
Richard Du, Wesley Kwong, Daniel Lampert, Arda Sozer, and Casey Yoon

Detección de Cataratas is an application accessible by a smartphone that aids in diagnosing cataract disease in Mexico’s rural and low-income population by allowing users to upload a picture of their face and receive an accurate diagnosis of whether each eye has cataracts or not.

Read a Q&A with the Detección de Cataratas team.

Honorable mentions

Capstone projects A White Blood Cell Classifier for AML Diagnosis and Project HOME: Modeling and Mapping Eviction rates in California received honorable mentions.

Full Loop Privacy
Full Loop Privacy
Screen Ahead RX
Screen Ahead RX
Detección de Cataratas
Detección de Cataratas

Last updated:

September 8, 2021