Dan Mace

Dan Mace Email and Phone Number

Full stack Principal Machine Learning engineer working on streaming graph based security applications/solutions. @ Microsoft
Redmond, WA
Dan Mace's Location
Seattle, Washington, United States, United States
About Dan Mace

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.

Dan Mace's Current Company Details
Microsoft

Microsoft

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Full stack Principal Machine Learning engineer working on streaming graph based security applications/solutions.
Redmond, WA
Website:
microsoft.com
Employees:
10
Company phone:
0124 415 8000
Dan Mace Work Experience Details
  • Microsoft
    Principal Machine Learning Engineer
    Microsoft Apr 2018 - Present
    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.
  • Microsoft
    Senior Software Engineer/Machine Learning Engineer
    Microsoft Apr 2013 - Mar 2018
    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.
  • University Of Washington
    Senior Fellow
    University Of Washington Oct 2009 - Apr 2013
    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.
  • Duke University
    Postdoc
    Duke University May 2009 - Sep 2009
  • Duke University
    Graduate Student
    Duke University Sep 2004 - May 2009
    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.
  • Grassroots Biotechnology
    Computational Biology/Bioinformatics Consultant
    Grassroots Biotechnology Dec 2008 - Jul 2009
    Provided informatics support for high throughput microscopy platforms
  • Pfizer
    Informatics Technician
    Pfizer Jun 2004 - Sep 2004
    Provided informatics support to research labs.
  • Pfizer
    Lab Assistant
    Pfizer Oct 1998 - Sep 1999
    Applied standard laboratory procedures for accelerated drug stability experiments.

Dan Mace Skills

Machine Learning Bayesian Statistics R Image Analysis Computer Vision Opencl Sge Java C++ Matlab C Software Development Systems Biology Image Segmentation Latex Genomics Chip Seq Rnaseq Image Registration Programming Itk Regression Models Data Classification Software Design Patterns Computer Security Anomaly Detection Fraud Detection Intrusion Detection

Dan Mace Education Details

  • Duke University
    Duke University
    Computational Biology And Bioinformatics
  • Pace University
    Pace University
    Mathematics: Minor Biology

Frequently Asked Questions about Dan Mace

What company does Dan Mace work for?

Dan Mace works for Microsoft

What is Dan Mace's role at the current company?

Dan Mace's current role is Full stack Principal Machine Learning engineer working on streaming graph based security applications/solutions..

What is Dan Mace's email address?

Dan Mace's email address is da****@****aol.com

What schools did Dan Mace attend?

Dan Mace attended Duke University, Pace University.

What skills is Dan Mace known for?

Dan Mace has skills like Machine Learning, Bayesian Statistics, R, Image Analysis, Computer Vision, Opencl, Sge, Java, C++, Matlab, C, Software Development.

Who are Dan Mace's colleagues?

Dan Mace's colleagues are Dara Darabi, Bashrush De Boy Wizzy, Sandeep Kumar, Nora Leon, Jessica Wang, Chika Nzeh, Laura Gallego.

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