Aditya Hegde
PhD Candidate
Baltimore, Maryland, United States
Summary
👤
Senior🎓
Top SchoolAditya Hegde is a PhD candidate in Computer Science at Johns Hopkins University with nine years of research experience spanning cryptography, privacy-preserving ML, and theoretical computer science. His work bridges multi-party computation, differential privacy, federated learning, and security aspects of generative and adversarial models, informed by research visits at IISc and ENCRYPTO (TU Darmstadt) and industry internships including GE Healthcare. He combines rigorous mathematical foundations from an iM.Tech in CS with hands-on systems experience, exploring both algorithmic privacy guarantees and practical ML defenses. Based in Baltimore, he pursues cross-disciplinary problems that blend cryptographic protocols with statistical and ML methods, often focusing on deployable privacy mechanisms rather than purely theoretical constructs.
9 years of coding experience
1 year of employment as a software developer
Johns Hopkins UniversityInternational Institute of Information Technology Bangalore
Kannada, English, Hindi
Github Skills (34)
lan10
generative-adversarial-network9
react-native9
javascript9
python9
computer-graphics9
slack9
image-manipulation9
zulip9
chat9
collaboration9
computer-vision8
cyclegan8
file-sharing8
apache8
Programming languages (8)
Github contributions (5)
zense/media_hub
Nov 2017 - Apr 2018
Contributions:23 commits, 3 PRs, 21 pushes in 5 months
rustp2pfilesharing
adishegde/media_hub
Apr 2018 - Feb 2019
Decentralized file sharing over LAN
Contributions:12 releases, 211 commits, 5 PRs in 9 months
file-basedfile-sharingsharinglanshare
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