Machine learning specialist with deep learning experience in computer vision and NLP. 10 years of experience in research at the academic sector. Excellent collaboration, communication, and teaching skills with extensive experience performing complex analytical computational tasks.
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Principal Ai EngineerRedhat CompanyNew York, Ny, Us -
Data Science & Machine Learning ManagerTiktok Apr 2022 - PresentNew York, New York, United States -
Staff Machine LearningQuickframe Nov 2019 - Apr 2022Greater New York City AreaQuickFrame is an intelligent Video-as-a-Service platform that solves two of the largest problems around video—the slow, expensive production process and the lack of clarity around what drives performance. I am currently leading ML projects at QuickFrame such as:- Object detection and segmentation in video/image- Speech to text - Face clustering- NLP for understanding text contexts- Human activity recognition- Image captioningand many more...Our marketplace of global creators efficiently produces scalable, platform-optimized, on-brand videos and our AI-powered analytics tool provides deep insight into what improves video effectiveness. With QuickFrame, organizations can do more with video, so video can do more for them. -
Senior Data Scientist - Machine LearningTurbonomic Feb 2019 - Nov 2019Greater New York City Area -
Machine Learning And Ai TeamMatrics Oct 2017 - Jan 2019Greater New York City Area- Working as part of the quant team developing various machine learning project.- Design and implementing deep learning models for market risks, loan default status and heart failure prediction. - Implementation of optimization libraries including Quasi-Newton methods, Particle Swarm Optimizations, Graph theory for network problems and spectral clustering. -
Deep Learning And Ai ScientistMatrics Oct 2017 - Jan 2019Greater New York City Area -
Postdoctoral FellowColumbia University In The City Of New York Sep 2015 - Oct 2017Greater New York City Area- Building a highly efficient numerically exact neural network solver based on matrix-product-state (MPS) theory. This was applied to infinite system of many-body physics which included quantum statistical mechanics of different degrees of freedom - Leading and conducting research team and establishing a new theory of high-temperature superconductivity which was highly appreciated by the scientific community and published in the prestigious Nature Physics journal. superconductivity. -
Researcher Phd StudentTel Aviv University Oct 2010 - Aug 2015Tel Aviv Area, Israel- Building numerical programs for self-consistent solution of correlated functions and kernel equations. - Leading and conducting international research team (Israel, Germany, USA). - Developing new approaches for dynamical equations of Non-Markovian strongly-correlated system in intrinsically non-equilibrium conditions. - Supervising projects for graduate students from my group. - Teaching Courses: Advanced Electrodynamics, Quantum Mechanics 1, Classical Physics II (Electro-Dynamics), Classical Physics I (Newtonian Mechanics), Physics Lab B instructor.
Eli Wilner, Ph.D Education Details
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Physics -
Physics -
Physics -
Applied Machine Learning With Python
Frequently Asked Questions about Eli Wilner, Ph.D
What company does Eli Wilner, Ph.D work for?
Eli Wilner, Ph.D works for Redhat Company
What is Eli Wilner, Ph.D's role at the current company?
Eli Wilner, Ph.D's current role is Principal AI Engineer.
What schools did Eli Wilner, Ph.D attend?
Eli Wilner, Ph.D attended Tel Aviv University, Tel Aviv University, The Hebrew University, University Of Michigan - Ann Arbor, Columbia University In The City Of New York.
Who are Eli Wilner, Ph.D's colleagues?
Eli Wilner, Ph.D's colleagues are Dinda Okzandini, Rohit Ramachandran, Damarcus Harris, Ashton Mc Cormack, Stephany Ballestero, Guido Esteban Farioli Grana, Xiaohan Li.
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