Iden Kalemaj
Research Scientist at Meta
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolIden Kalemaj is a research scientist at Meta specializing in privacy-preserving machine learning, enabling responsible access to sensitive data across ML and AI applications. With a PhD in computer science focused on algorithms for differential privacy for network and streaming data, he blends deep theoretical expertise with practical product-facing collaborations. His prior internships at Amazon and AWS produced deployable algorithms for bias mitigation and privacy-preserving causal inference, including work accepted to AISTATS. Iden’s background in mathematics from Princeton and experience building R Shiny tools for health-economics studies reflect a rare combination of rigorous theory, applied evaluation, and user-facing engineering. Based in New York, he brings six years of experience translating cutting-edge privacy research into usable methods for large-scale systems.
6 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree, Mathematics, Class of 2018, Bachelor’s Degree, Mathematics, Class of 2018 at Princeton UniversityHigh School Diploma, High School Diploma at UWC Adriatic - Collegio del Mondo Unito dell'Adriatico O.N.L.U.S.Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Boston University
English, Albanian, Italian, French, German
Github Skills (6)
pytorch10
differential-privacy10
machine-learning9
deep-learning9
privacy8
neural-network8
Programming languages (2)
Github contributions (5)
iden-kalemaj/opacus
Jul 2024 - Mar 2025
Training PyTorch models with differential privacy
Contributions:41 pushes, 17 branches in 7 months
iden-kalemaj/gitclass
Jan 2022 - Jan 2022
test project for git
Contributions:3 PRs, 3 pushes, 4 branches in 1 day
testingtest-project
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