Courant Master'S Thesis

Courant Master'S Thesis-38
I defended my Ph D thesis in Computer Science, focusing on Distributed Systems, in August 2015: "Building Fast, CPU-Efficient Distributed Systems on Ultra-Low Latency, RDMA-Capable Networks".

I defended my Ph D thesis in Computer Science, focusing on Distributed Systems, in August 2015: "Building Fast, CPU-Efficient Distributed Systems on Ultra-Low Latency, RDMA-Capable Networks".I earned my Master's degree in Electrical Engineering in May 2010 and my BE in EE in May 2009 from the Cooper Union in New York City.

Project in which alternative methodologies to improve state-of-the-art language model performance with LSTMs are being developed.

[Find Out More] This project aims to predict data-driven head-neck cancer subtypes using pathology images.

He has also created and produced other discovery and information programs for France Télévision, including a children’s news program “À Toi l’Actu @” and a series of fictional documentaries “Quelle Aventure” devoted to the great historical adventures.

In 2015, he co-creates a Science and Discovery website with Pascal Léonard (director of C’est pas Sorcier).

Thus, we solve a fundamental algorithmic question in the theory of multivariate polynomials over the integers.

As a direct consequence, we also obtain a solution to certain foundational problem intrinsic to Kronecker's programme for constructive mathematics and provide an effective version of Hilbert's basis theorem.

I am a Research Scientist at the AI Foundation, where I work on generation and detection of speech and text from a machine learning perspective. I’m a huge supporter of Borussia Dortmund from the German Bundesliga.

Previously, I completed my MS in Computer Science at the Courant Institute at NYU in the CILVR group focusing on deep learning applied to natural language processing and advised by Kyunghyun Cho and Sam Bowman. I dabble in using machine learning and statistics for sports analytics.

Various regression methods were used to estimate impact of these features.

[Find Out More] In this project, methodologies to transform a set of peer review grades and a set of TA grades into true grades and peer reviewer qualities for any set of assignments were developed and implemented.

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