Matthew Lamont
About
Matthew Lamont is from New York City Metropolitan Area. Matthew works in the following industries: "Marketing and Advertising". Matthew is currently Senior Director, Data Science at AdTheorent, located in United States. In Matthew's previous role as a Director, Data Science at AdTheorent, Matthew worked in New York, NY, United States until Jan 2021. Prior to joining AdTheorent, Matthew was a Senior Data Scientist at AdTheorent and held the position of Senior Data Scientist at New York, New York. Prior to that, Matthew was a Data Scientist at AdTheorent, based in New York from Dec 2015 to Jan 2017. Matthew started working as Research Scientist, Assistant/Associate Physicist at Brookhaven National Laboratory in Jul 2007. From Jan 2004 to Jan 2007, Matthew was Research Scientist at Yale University, based in New Haven, CT. Prior to that, Matthew was a Postdoctoral Researcher at University of Birmingham from Jan 2002 to Jan 2004.
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Matthew Lamont's current jobs
Matthew Lamont's past jobs
I am a data scientist specializing in developing machine learning models on large but very sparse datasets within the advertising industry.
I was a researcher in basic science (high-energy particle physics). This involved using many data analysis skills to extract rare signals in order to characterize large datasets. These techniques involve: MapReduce techniques on large Linux computing farms using the CONDOR and SGE environments to analyze 8 PB of data. Data mining these data with code written in CINT/C++ to perform analysis using the CERN-ROOT analysis framework in both Linux and Mac OS X O/S. Showed strong collaborative skills with researchers from around the World. Gave plenary presentations of my research at numerous national and international conferences. As well as this, I have been a primary motivator on a small team designing a future high-energy physics collider costing over US$1 billion. This has involved: Simulating data using FORTRAN/C++ and performing Monte-Carlo calculations. Organizing workshops, conferences and writing technical manuscripts.
I continued my analysis of high-energy physics data using data-mining and MapReduce techniques. In addition to this, I achieved the following: Managed a group of 30 researchers within the STAR experiment. Interacted with the experiment’s overall management team. Proposed a new high-energy physics experiment to run at Brookhaven Lab. Taught classes at the undergraduate level.
Pioneered the analysis of strange particle physics in the highest-energy data yet produced . Used data mining skills to extract small signals from large backgrounds. Taught classes at the undergraduate level.