Engineering performant and privacy-conscious systems.
Building lightweight, performant observability tools for distributed systems.
Creating privacy-centric computer systems abstractions that achieve compliance with GDPR-like legislation by default.
Designing cryptographic protocols for a privacy-preserving ad ecosystem.
Developing a machine learning architecture to detect and redact 60 types of Personally Identifiable Information (PII) in semi-structured data.
Testing the limits of how quickly and efficiently a 3U CubeSat can be developed. Supported by NASA and the National Research Council of Italy (CNR).
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