Matthew Le's Work Experience
AI Research Engineer
Icahn School of Medicine at Mount Sinai
August 2016 to April 2018
Greater New York City Area
Rochester Institute of Technology
August 2013 to August 2016
University of Minnesota
Undergraduate Research Assistant
January 2012 to August 2013
Greater Minneapolis-St. Paul Area
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Frequently Asked Questions about Matthew Le
What company does Matthew Le work for?
Matthew Le works for Facebook
What is Matthew Le's role at Facebook?
Matthew Le is AI Research Engineer
Matthew Le's phone (212) ***-*132
What industry does Matthew Le work in?
Matthew Le works in the Computer Software industry.
About Matthew Le
💼 Past Experience
Background:Matthew Le has a degree in Computer Science from the University of Minnesota. He has worked in the software engineering field for 1 year, 8 months as a Research Assistant at the University of Minnesota.他的工作经历介绍以下:Hi there, my name is Matthew Le and I am currently an AI Research Engineer at Facebook in New York City. In my time at Facebook, I have worked on a number of different projects, including projects that focus on using Convolutional Neural networks to automatically identify isolated communities in low-resource settings to aid community health organizations in healthcare delivery and projects that use AWS S3 for storing satellite imagery, PostgreSQL/PostGIS for managing spatial vector data, and AWS EC2 GPU instances for training models. Out of these projects, the Manticore project is the one that I am most passionate about.Manticore is a compiler for a parallel/concurrent dialect of Standard ML, and it is one of the most important projects that I have worked on at Facebook. It is important because it can help us reduce the overhead of our software transactional memory (STM) algorithm.One of the challenges that we face when working on Manticore is that we have to handle the various edges that the compiler has to handle. For example, in order for a student to produce a paper on Standard ML, they have to use three different edge colloquialisms: cuda, octave, and aculous. We have to make sure that all the edge calls are properly implemented and that they are fast. uphill, meanwhile, is a function that takes one value and prints it on the console. It’s a utility function that’s used to find the next value in a sequence that’s been stored in a data structure like a list or a vector. uphill is defined as follows: uphill(xs : list, n : int, merge :< convince> ->bool) : listThe above code finds the next value in a list of length n and returns a list of length 2. We have to make sure that uphill can handle long lists and that it’s fast.One of the things that I have done while working on Manticore is that I have created a function that I call “uphill”. uphill takes a list of length n and a number (n-1), and it merges the two lists together. If you want to check whether a list has a green element, for example, you could call uphill with a list of length 4 and a number like 2, and it would return true because the list has at least one green element.The other thing that I have done while working on Manticore is that I have made a few changes to the algorithm that we use to detect ocean eddies. Before, we would just look for active ocean eddies and stop trying to detect them if we couldn’t find them. But now, we are also trying to detect inactive ocean eddies. So,
Matthew Le is a computer scientist and educator who has been working with the technology community for over 10 years.Le holds a Bachelor of Science (BS) from the University of Minnesota-Twin Cities in 2009. After a few years of studies, Le received his Master of Science (M.S) from Rochester Institute of Technology in 2013.Le's works focus on developing innovative software solutions for businesses and governments. He has experience working on linux, Mac, and Windows systems.In his spare time, Le enjoys playing the guitar and spending time with his wife and two young children.
In a nutshell
Ranked #415 out of 8,307 for AI Research Engineer in New York
Introversion (I), Sensing (S), Thinking (T), Perceiving (P)
2 year(s), 2 month(s)
There's 85% chance that Matthew Le is seeking for new opportunities
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