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General Information
Full Name | John Brevard Sigman |
Education
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2017
Ph.D., Electrical Engineering
Dartmouth College, Thayer School of Engineering
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Research Areas:
- Forward and inverse problems in computational electromagnetics
- Signal processing
- Machine learning
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Research Areas:
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2010
B.S., Electrical Engineering
University of Virginia, School of Engineering and Applied Science
- Concentration in signal processing
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2006
High School Diploma
Thomas Jefferson High School for Science and Technology
Recent Experience
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2019-now
Principal Data Scientist
InfiniaML
- Building industry-leading document processing ML and AI technology
- Development and production deployment experience including large language models and custom deep neural networks
- Leader of several internal and client-facing teams and projects
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2017-2019
Postdoctoral Researcher
Duke University
- Deep learning research in computer vision and object detection
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2016
ORISE Fellow
US Army Corps of Engineers - Signature Physics Branch
- Electromagnetics research in resonant tunnel detection
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2012-2015
Software Contractor
Fannie Mae
- Wrote several enterprise iPad applications at night
- Two patents for mobile appraisal verification
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2010-2012
Associate Engineering Program Manager
Alarm.com
- Embedded software development, hardware design
Academic Interests
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Machine Learning
- Large Language Models in document processing
- Document feature extraction
- Security applications in computer vision
- Domain-adaptive neural networks
- Semi-supervised learning
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Electrical Engineering
- Forward and inverse scattering problems in magneto-quasistatics
- Electromagnetic signature classification
- High-frequency electromagnetic induction sensing
Technical Skills
Proficient | Python, Pytorch, Tensorflow, MATLAB, C, Objective-C, Gitlab CI, Docker, Linux, LaTeX, emacs lisp, pandas, sklearn |
Experienced | C++, bash, Scheme, MIPS assembly, VHDL, Visual Basic, Fortran, OpenMPI, PADS |