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Matthew Le's email & phone number

AI Research Engineer at Facebook

Matthew Le's Email Addresses & Phone Numbers

Matthew Le's Work Experience

Facebook

AI Research Engineer

New York

Icahn School of Medicine at Mount Sinai

Software Engineer

August 2016 to April 2018

Greater New York City Area

Rochester Institute of Technology

Research Assistant

August 2013 to August 2016

Rochester NY

Matthew Le's Education

University of Minnesota-Twin Cities

Bachelor of Science (BS), Computer Science

2009 to 2013

Rochester Institute of Technology

Master of Science (M.S), Computer Science

2013 to 2016

Matthew Le's Professional Skills Radar Chart

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Pragmatic
Private

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Matthew Le's Estimated Salary Range

About Matthew Le's Current Company

Facebook

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


What is Matthew Le's personal email address?

Matthew Le's personal email address is ma****[email protected]


What is Matthew Le's business email address?

Matthew Le's business email address is [email protected]***.***


What is Matthew Le's Phone Number?

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[2], n : int, merge :< convince> ->bool) : list[2]The 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,


🎓 Education

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.


Matthew Le’s Personal Email Address, Business Email, and Phone Number

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Matthew Le's Ranking

Ranked #415 out of 8,307 for AI Research Engineer in New York

Matthew Le's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

2 year(s), 2 month(s)

Matthew Le's Willingness to Change Jobs

Unlikely

Likely

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Matthew Le's Social Media Links

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