Greg Canal Email & Phone Number
@wisc.edu
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Who is Greg Canal? Overview
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Greg Canal is listed as Senior Research Scientist at Deepgram, a with 5538 employees, based in Washington Dc-Baltimore Area, United States. AeroLeads shows a work email signal at wisc.edu and a matched LinkedIn profile for Greg Canal.
Greg Canal previously worked as Senior AI Research Scientist at The Johns Hopkins University Applied Physics Laboratory and Postdoctoral Research Associate at Wisconsin Institute For Discovery. Greg Canal holds Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering from Georgia Institute Of Technology.
Email format at Deepgram
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About Greg Canal
The objective of my research is to develop and analyze foundational machine learning models and algorithms. I am particularly interested in the design of systems that actively learn from data by intelligently selecting a minimal set of measurements or data labels, and processing them in a computationally efficient manner. Such systems are especially important in human-in-the-loop settings, where both the number of requested labels and the latency (i.e., computational cost) between each label request must be minimized. I typically approach my research using concepts from information theory, adaptive sensing, low-dimensional and generative modeling, and Bayesian statistics, among other tools. I have worked on collaborative projects in problem domains such as active learning and adaptive localization, comparison-based metric and preference learning, image segmentation, brain-computer interfacing, explainable artificial intelligence, and deep generative modeling.See https://www.gregorycanal.com/research/ for additional details on each of my research thrusts, and https://www.gregorycanal.com/publications/ for a complete list of my publications.
Listed skills include Machine Learning, Statistical Signal Processing, Data Analysis, Research, and 6 others.
Greg Canal's current company
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Greg Canal work experience
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Senior Ai Research Scientist
Postdoctoral Research Associate
Developed foundational machine learning algorithms and theory, including new methods in deep active learning and convex algorithms for simultaneous metric and preference learning in a multi-user comparison-based recommender system (Python).
Graduate Research Assistant
Developed foundational algorithms and theory at the intersection between information theory and machine learning, with applications in active classification, preference learning, metric learning, human-computer interfacing, brain-computer interfacing, explainable AI, and deep generative modeling (Python and MATLAB).
Graduate Teaching Assistant - Introduction To Signal Processing
Instructed undergraduate students in weekly laboratory sessions exploring fundamental signal processing concepts in MATLAB.
Intern
Developed and analyzed signal models and source separation solutions for multiple-input multiple-output digital communications systems, including a novel problem-specific extension of independent component analysis which was subsequently integrated into a deployed customer system.
Undergraduate Researcher - Pratt Fellows Research Program
Designed and analyzed experiments investigating the use of a brain-computer interface for rapid visual searching of images by a human operator, as an alternative to point-and-click image searching. Learned C++ to develop real-time experimental applications that measure scalp electrode data for subsequent signal processing and classification in MATLAB.
Laboratory Teaching Assistant - Signals And Systems
Led weekly laboratory sessions that implemented signal processing concepts with MATLAB, Simulink, and data acquisition boards. Served as head laboratory teaching assistant in spring 2015, with additional responsibilities consisting of coordinating with laboratory managers and faculty to plan exercises, and leading weekly meetings to prepare teaching assistants for each lab.
Colleagues at Deepgram
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Milton Estrada
Colleague at DeepgramMansfield, Texas, United States
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Mia Francis
Colleague at DeepgramLaurel, Maryland, United States
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Stacey Vespa
Colleague at DeepgramColumbia, Maryland, United States
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Justin Harsono
Colleague at DeepgramColumbia, Maryland, United States
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Scott Maurer
Colleague at DeepgramEllicott City, Maryland, United States
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Edgar Hildebrandt Rojo
Colleague at DeepgramSouth Pasadena, California, United States
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Patrick Sears
Colleague at DeepgramLaurel, Maryland, United States
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Edlawit Gebre
Colleague at DeepgramTakoma Park, Maryland, United States
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Jan Rizzuto
Colleague at DeepgramBethesda, Maryland, United States
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Zachary Watson
Colleague at DeepgramEllicott City, Maryland, United States
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Greg Canal education
Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering
Master Of Science - Ms, Electrical And Computer Engineering
Bachelor Of Science - Bs, Electrical And Computer Engineering
Education record
Frequently asked questions about Greg Canal
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What company does Greg Canal work for?
Greg Canal works for Deepgram.
What is Greg Canal's role at Deepgram?
Greg Canal is listed as Senior Research Scientist at Deepgram.
What is Greg Canal's email address?
AeroLeads has found 1 work email signal at @wisc.edu for Greg Canal at Deepgram.
Where is Greg Canal based?
Greg Canal is based in Washington Dc-Baltimore Area, United States while working with Deepgram.
What companies has Greg Canal worked for?
Greg Canal has worked for Deepgram, The Johns Hopkins University Applied Physics Laboratory, Wisconsin Institute For Discovery, Georgia Institute Of Technology, and Lgs Innovations.
Who are Greg Canal's colleagues at Deepgram?
Greg Canal's colleagues at Deepgram include Milton Estrada, Mia Francis, Stacey Vespa, Justin Harsono, and Scott Maurer.
How can I contact Greg Canal?
You can use AeroLeads to view verified contact signals for Greg Canal at Deepgram, including work email, phone, and LinkedIn data when available.
What schools did Greg Canal attend?
Greg Canal holds Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering from Georgia Institute Of Technology.
What skills is Greg Canal known for?
Greg Canal is listed with skills including Machine Learning, Statistical Signal Processing, Data Analysis, Research, Algorithms, Simulations, Matlab, and Python.
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