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Head of Digital Economy at @IIPP_UCL - research on the Big Tech digital platforms.
Economist @DEF_TorVergata - My job is to write mathematical models that make sense of the world.
Senior Staff Engineer at Google Brain
Research scientist at Google DeepMind. Research interest lies broadly in optimization methods for machine learning.
He obtained his Ph.D. in the School of Electrical and Computer Engineering at Cornell University in May 2022. His Ph.D. thesis focused on resource-constrained AutoML. He was advised by Prof. Madeleine Udell and had Prof. Thorsten Joachims and Prof. Kilian Q. Weinberger on his committee. From Summer 2021 to Spring 2022, He was a student researcher at Google Brain. He received a B.S. degree in physics from Fudan University in 2016.
Sharing what I'm currently learning, mostly about AI, Kubernetes, Software Architecture, Data structures and Algorithms etc.
Staff Research Scientist at Google Brain
The Sheriff of Sodium | Pediatric nephrologist | EVMS associate professor | APD | Husband | Dad | Virginian | Advocate for medical students and common sense
Prof @ZeMKI_Bremen, Director @pgmt_lab and MA Digital Media and Society. Still: @hiig_berlin @platgov @PolicyR. Governance, Platforms, AI. Father of 4.
research @wzb_berlin, mostly writing about platform {governance, capitalism, regulation, moderation}. He/him
I write the Garbage Day newsletter about web culture. Host @thecontentmines podcast.
Oded Regev (Hebrew: עודד רגב) is an Israeli-American theoretical computer scientist and mathematician. He is a professor of computer science at the Courant institute at New York University. He is best known for his work in lattice-based cryptography, and in particular for introducing the learning with errors problem.