Senior Machine Learning Researcher at Deepgram
Detroit Metropolitan Area
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
Deepgram
Senior Machine Learning Researcher
Detroit Metropolitan Area
Voxel51
Senior Computer Vision and Machine Learning Scientist
March 2019 to February 2020
Detroit Metropolitan Area
Washington University in St. Louis
Postdoctoral Research Associate
September 2010 to September 2012
Greater St. Louis Area
Columbia University
Research Assistant
June 2006 to September 2010
Greater New York City Area
Columbia University
Teaching Assistant
September 2004 to December 2009
Greater New York City Area
Columbia University
Research Assistant
June 2005 to August 2005
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. 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.
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 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
💼 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.
Extraversion (E), Intuition (N), Thinking (T), Judging (J)
2 year(s), 8 month(s)
Unlikely
Likely
There's 92% chance that Matthew Lightman is seeking for new opportunities
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