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Matthew Lightman

Data Scientist Lead

Senior Machine Learning Researcher at Deepgram

Detroit Metropolitan Area

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Matthew Lightman's Email Addresses & Phone Numbers

Matthew Lightman's Work Experience

JPMorgan Chase

Data Scientist Lead

2014 to February 2019

Greater New York City Area

American Express

Data Scientist

2013 to 2014

Greater New York City Area


Senior Machine Learning Researcher

Detroit Metropolitan Area

Matthew Lightman's Education

Columbia University in the City of New York

Doctor of Philosophy (PhD), Physics

2004 to 2010

York University

Bachelor of Science (B.Sc.), Physics, 8.92/9.0

2000 to 2004

Matthew Lightman's Professional Skills Radar Chart

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Calm under pressure

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57% Left Brained
43% Right Brained

Matthew Lightman's Estimated Salary Range

About Matthew Lightman's Current Company

JPMorgan Chase

My team and I were responsible for personalization of the Chase web site and mobile app. We implemented large scale, real-time machine learning systems, which delivered personalized nudges and content that helped customers understand and manage their finances, and gain awareness of product offerings that met their individual needs.

Frequently Asked Questions about Matthew Lightman

What company does Matthew Lightman work for?

Matthew Lightman works for JPMorgan Chase

What is Matthew Lightman's role at JPMorgan Chase?

Matthew Lightman is Data Scientist Lead

What is Matthew Lightman's personal email address?

Matthew Lightman's personal email address is m****[email protected]

What is Matthew Lightman's business email address?

Matthew Lightman's business email addresses are not available

What is Matthew Lightman's Phone Number?

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What industry does Matthew Lightman work in?

Matthew Lightman works in the Computer Software industry.

Who are Matthew Lightman's colleagues?

Matthew Lightman's colleagues are Steven Sklodowski, Stephen Johnson, Ajay Agarwal, Dieter Zirkler, Jose Echevarria, Michael Esq., Kathy Lin, Karen Li, Soumit Saha, and Anthony Ganime

About Matthew Lightman

💼 Past Experience

Matthew Lightman has lectured, supervised undergraduate laboratory experiments, and written code in C++ to run massively parallel simulations on supercomputers. As a result of his experience, Matthew Lightman has expertise in a variety of computer vision and machine learning algorithms, as well as gravitational waves detection.

🎓 Education

Matthew Lightman's education has been based in physics, which has given him a wealth of knowledge and experience in the field. He holds a Doctor of Philosphy (PhD) from Columbia University in New York City, and a Bachelor of Science (B.S.) from York University in 2000. Matthew has also worked in the physics industry for many years, most recently as a research associate at the University of Missouri.

💡 Technical & Interpersonal Skills

As a senior machine learning researcher at Deepgram (four years, four months), I was responsible for the development and implementation of large-scale, real-time machine learning systems used to personalize the Chase web site and mobile app. I also developed object detection and classification deep models to help understand and manage customer demographics and preferences. As a postdoctoral research assistant at Washington University in St. Louis from September 2010 to September 2012, I increased the speed and efficiency of interest Graph, a machine learning algorithm used to discover the interests of customers, by implementing in Hadoop. In my previous work experience, I also collaborated with company-wide partners to apply interest Graph to their use cases. With Deepgram, I also developed new methods for building deep neural networks for audio transcription to text, which is an effort to improve accuracy and efficiency in conversational settings where voices may not always be clear and where many people are talking. I am also responsible for developing the code library used to run massive parallel simulations of particle physics. I became a research associate at Voxel51 in Detroit Metropolitan Area in March 2019, and worked on developing a Learning Framework to train andevaluate computer vision models at scale, using tools such as TensorFlow and GoogleCloud. I also published research with collaborators on the decay of a kaon particle into two pion particles in two peer-reviewed scholarly journal articles. Finally, I received the Ken Wilson Award for a publication leading to important progress in Lattice Field Theory in 2012.

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In a nutshell

Matthew Lightman's Personality Type

Extraversion (E), Intuition (N), Thinking (T), Judging (J)

Average Tenure

2 year(s), 8 month(s)

Matthew Lightman's Willingness to Change Jobs



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