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DATA A&A

The Data Apps and Analytics (Data A&A) subteam uses web, mobile, and IoT technology to collect, analyze, and display data from vehicle testing. We're responsible for the high-frequency data collection, storage, and efficiency analysis required for data-driven engineering.

DAQ & Dash

The DAQ system collects data from on-vehicle sensors. A minimal E-Ink display is used to present only essential information to the driver, conserving power and reducing distraction.

 

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Daniel Sorokin

Data A&A Co-Lead

CS

2027

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Ruth Taddesse

Data A&A Co-Lead

CS

2027

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Serena Duncan

CS

2026

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Mehdi Heydari

CS

2026

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Ajay Parthibha

CS

2028

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Rhea Agrawal

CS

2028

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Katie Xiao

CS & Econ

2028

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Amelia Zheng

CS

2027

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Julia Lau

CS

2028

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Jerry Ji

CS

2027

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