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Matthew Silver is listed as Vice President of Data Science at Vectra AI at Vectra AI, based in Greater Boston, United States. AeroLeads shows a work email signal at vectranetworks.com and a matched LinkedIn profile for Matthew Silver.
Matthew Silver previously worked as Vice President, Data Science at Vectra Ai and Senior Director, Data Science at Vectra Ai. Matthew Silver holds Phd, Cognitive And Neural Systems (Computational Neuroscience) from Boston University.
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Leading Vectra's data science organization, which leverages AI to deliver threat detection capabilities core to our products. Excellent communicator with a deep technical background. Adept at translating business initiatives into technical goals, and structuring artificial intelligence and machine learning organizations so they are empowered deliver brilliant results. Passionate about synthesizing comprehensible views of complex efforts to facilitate clarity through all levels of the business.
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San Jose, Ca, Us
Leading Vectra's data science organization, which leverages AI to deliver threat detection capabilities core to our products. Focusing on key integrative initiatives solidifying Vectra's leadership in the XDR space.
San Jose, Ca, Us
As the leader of Vectra's data science organization, planned research and execution roadmaps in partnership with product and security teams. Inspired and shaped Vectra's initial steps toward a data mesh approach to simplify data architectures and support research.Supported our global sales organization by presenting our AI strategy to our largest and most strategic prospects.
San Jose, Ca, Us
Managed our East Coast data science team, which focuses on the development of algorithms to identify advanced attacker behaviors in enterprise networks and the design of deep neural network architectures to discover structure and meaning in network traffic.Founded and grew Vectra's Cambridge, MA office, serving as site lead as the space grew to a cross-functional location.
San Jose, Ca, Us
Applied machine learning and artificial intelligence techniques to network metadata to identify anomalous behavior of hosts, which facilitates early detection of malicious threats or costly misconfigurations. Leveraged a variety of unsupervised approaches to learn about the statistical properties of time series and make predictions about upcoming observations.
San Jose, Ca, Us
Developed machine learning algorithms to detect malicious network activity. Worked with supervised and unsupervised methods including random forests, deep neural networks, k-means, dbscan, and Gaussian mixture models. Analyzed large volumes of data on our Hadoop cluster using Scala and Spark; researched and implemented algorithms in Python and C++
Cambridge, Ma, Us
Studied decision making and categorization with Earl Miller at the Picower Institute for Learning and Memory to elucidate the neural mechanisms underlying cognitive functions. Employed multi-unit elecrophysiological techniques to measure and quantify relationships between the activity of many cells in multiple brain regions while decisions are being made. Developed a behavioral training and testing environment in Matlab that integrates stimulus presentation, eye tracking, and data acquisition.
Boston, Ma, Us
Developed a computational model of working memory and sequential eye movements, called lisTELOS, which simulates neural data. Explored and implemented feedforward and recurrent neural networks as well as machine learning algorithms such as support vector machines, adaptive resonance theory, genetic algorithms, and self organizing maps. Implementation occurred alongside intensive study of the mathematical basis of classification, learning, and predictive systems.
Clinton, N.Y., Us
Working with the Neuroscience Program and the Computer Science Department, conducted experiments and developed software for several projects. Built a genetic algorithm analysis platform in Java to enable discovery of novel solutions to arbitrary problems. Recorded and analyzed electrical activity from the rat brain. Wrote an application in C to process neural signals from a DAQ and enable quick analyses in a GUI.
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Matthew Silver works for Vectra AI.
Matthew Silver is listed as Vice President of Data Science at Vectra AI at Vectra AI.
AeroLeads has found 1 work email signal at @vectranetworks.com for Matthew Silver at Vectra AI.
Matthew Silver is based in Greater Boston, United States while working with Vectra AI.
Matthew Silver has worked for Vectra Ai, Massachusetts Institute Of Technology, Boston University, and Hamilton College.
You can use AeroLeads to view verified contact signals for Matthew Silver at Vectra AI, including work email, phone, and LinkedIn data when available.
Matthew Silver holds Phd, Cognitive And Neural Systems (Computational Neuroscience) from Boston University.
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