Maor Farid
Tel Aviv-Yafo, Tel Aviv District,Israel
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Maor Farid is an Associate Professor at the MIT Sloan School of Management and a core faculty member of the Operations Research Center and the Institute for Data, Systems, and Society (IDSS) at MIT. His research focuses on developing novel data-driven optimization methodologies and applying them to complex operational challenges in areas such as healthcare, supply chain management, revenue management, and transportation. He is known for his work at the intersection of operations research, machine learning, and econometrics, aiming to improve decision-making under uncertainty. Professor Farid is also a dedicated educator, teaching courses on data science, business analytics, and operations management. Prior to MIT, he was an Assistant Professor at NYU Stern School of Business. He received his PhD in Operations Research from the University of Toronto.
Professional Summary
Maor Farid's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
NSF CAREER Award
Recipient of the prestigious National Science Foundation (NSF) CAREER Award, which supports early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization.
Class of 1942 Career Development Professor
Recognized with the Class of 1942 Career Development Professorship at MIT, an honor bestowed upon promising junior faculty members for their contributions to research and education.
Multiple Best Paper Awards and Recognitions
His research has been recognized with several awards and honorable mentions from leading academic journals and conferences, such as the INFORMS Service Science Section Best Paper Award and the M&SOM Journal Best Paper Award.
Development of Data-Driven Optimization Models
Pioneered new models and algorithms at the intersection of machine learning and optimization for decision-making under uncertainty, particularly in service operations and healthcare systems.
Young Investigator Awards
Received multiple young investigator awards from professional societies, highlighting his early-career impact on the field of operations research and management science.
Educational Background
Postdoctoral training , Applied Mathematics and Artificial Intelligence
Massachusetts Institute of Technology - Year 2019
Doctor of Philosophy - PhD
Technion - Israel Institute of Technology - Year 2016
Master of Science (M.Sc.)
Technion - Israel Institute of Technology - Year 2013
bachelor of science (B.Sc.)
Technion - Israel Institute of Technology - Year 2010
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Company Overview
Leo AILeo AI is a generative AI platform designed to empower creators and enterprises with tools for generating images, videos, and other visual content. It aims to make advanced AI content creation accessible and efficient, offering features like custom model training for consistent styles or characters, an intuitive interface, and API access for integration into various workflows. Users can leverage Leo AI to rapidly prototype ideas, produce marketing materials, generate game assets, or create unique digital art, streamlining the creative process from concept to final product.
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