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Dan Mace is listed as Principal Machine Learning Engineer at Microsoft, a 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 Senior Software Engineer/Machine Learning Engineer at Microsoft and Senior Fellow at University Of Washington. 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 →
Tracy A. Hayes Staton
Colleague at MicrosoftHubert, North Carolina, United States
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Rose Peacock
Colleague at MicrosoftPlymouth, England, United Kingdom
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Michael Munch
Colleague at MicrosoftGreater Seattle Area, United States
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Alesandra Lewerung
Colleague at MicrosoftGambir, Jakarta, Indonesia
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Kevin Laporte
Colleague at MicrosoftGreater Paris Metropolitan Region, France
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Florencia Godoy
Colleague at MicrosoftFort Lauderdale, Florida, United States
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Anuj Modi
Colleague at MicrosoftAllahabad, Uttar Pradesh, India
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Lê Tuấn
Colleague at MicrosoftJapan
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Beza Tegene
Colleague at MicrosoftWashington, United States
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Mckenna Robinson
Colleague at MicrosoftDenver, Colorado, United States
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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 Principal Machine Learning Engineer 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 Tracy A. Hayes Staton, Rose Peacock, Michael Munch, Alesandra Lewerung, and Kevin Laporte.
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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