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Dan Mace is listed as Full stack Principal Machine Learning engineer working on streaming graph based security applications/solutions. at Microsoft, a company with 10 employees, based in Seattle, Washington, United States. AeroLeads shows a work email signal at microsoft.com and a matched LinkedIn profile for Dan Mace.
Dan Mace previously worked as Principal Machine Learning Engineer at Microsoft and Senior Software Engineer/Machine Learning Engineer at Microsoft. Dan Mace holds Phd, Computational Biology And Bioinformatics from Duke University.
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AeroLeads found 3 current-domain work email signals for Dan Mace. Compare company email patterns before reaching out.
Experienced applied statistician/machine learning developer with applications relating to high content/high throughput data analysis problems. Develop large scale end-to-end solutions that scale to millions of users and petabytes of data.
Listed skills include Machine Learning, Bayesian Statistics, R, Image Analysis, and 24 others.
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Redmond, Washington, US
Full machine learning stack engineer. Responsible for full range of prototyping, developing, and shipping large scale streaming based graph analytic solutions for security applications/features.
Redmond, Washington, US
Responsible for developing large scale (petabyte) end-to-end high-throughput machine learning solutions for customer facing security problems largely relating to account compromise and anomalous behavior detection in cloud based services.
Seattle, WA, US
Primary computationalist working on developing and improving methods for the single cell expression projects. Responsible for a variety of new methods including high fidelity 3D/4D object tracking and data integration and prediction models.
Worked in cross-disciplinary setting to develop methods for machine learning/computer vision problems. Developed methods for the analysis, control, and automation of high throughput pipelines relating to automated microscopy setup.
Provided informatics support for high throughput microscopy platforms
Provided informatics support to research labs.
Applied standard laboratory procedures for accelerated drug stability experiments.
Other employees you can reach at microsoft.com. View company contacts for 10 employees →
Amina Souri
Colleague at MicrosoftTlemcen, Algeria, Algeria
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VA
Vaishnevi Athreya
Colleague at MicrosoftSpring, Texas, United States, United States
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CD
Chad Devries
Colleague at MicrosoftSeattle, Washington, United States, United States
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AS
Apin Sutanto
Colleague at MicrosoftGambir, Jakarta, Indonesia, Indonesia
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VL
Vivian Li
Colleague at MicrosoftBellevue, Washington, United States, United States
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IR
Iam Rashid
Colleague at MicrosoftSrinagar, Jammu & Kashmir, India, India
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AS
Ajay Sharma
Colleague at MicrosoftIndia, India
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JH
Jamie Holloway
Colleague at MicrosoftSt Cloud, Florida, United States, United States
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QN
Quân Ngô
Colleague at MicrosoftVietnam, Viet Nam
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SU
Sarah U.
Colleague at MicrosoftRiyadh, Riyadh, Saudi Arabia, Saudi Arabia
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Quick answers generated from the profile data available on this page.
Dan Mace works for Microsoft.
Dan Mace is listed as Full stack Principal Machine Learning engineer working on streaming graph based security applications/solutions. at Microsoft.
AeroLeads has found 3 work email signals at @microsoft.com for Dan Mace at Microsoft.
Dan Mace is based in Seattle, Washington, United States while working with Microsoft.
Dan Mace has worked for Microsoft, University Of Washington, Duke University, Grassroots Biotechnology, and Pfizer.
Dan Mace's colleagues at Microsoft include Amina Souri, Vaishnevi Athreya, Chad Devries, Apin Sutanto, and Vivian Li.
You can use AeroLeads to view verified contact signals for Dan Mace at Microsoft, including work email, phone, and LinkedIn data when available.
Dan Mace holds Phd, Computational Biology And Bioinformatics from Duke University.
Dan Mace is listed with skills including Machine Learning, Bayesian Statistics, R, Image Analysis, Computer Vision, Opencl, Sge, and Java.
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