CloudDevelop has welcomed excellent keynote speakers in the past as a way to help kick off an informative, and fun-filled, day. Our first keynote speaker was Brady Gaster, and we’ve welcomed the likes of Sridhar Nanjundeswaran and David Aiken over the years.
This year we are thrilled to welcome Jennifer Marsman as the 2016 CloudDevelop keynote speaker. Jennifer has been a staple in the Midwest technology community for several years. If you’ve ever seen Jennifer give a presentation, you know she always brings a sense of energy, humor, and passion to her session – along with incredible depth and technical acumen. We could not be more excited to include Jennifer in the CloudDevelop keynote speaker alumni honor roll!
Here is a little more information about Jennifer:
Jennifer Marsman is a Principal Developer Evangelist in Microsoft’s Developer and Platform Evangelism group, where she educates developers on Microsoft’s new technologies. In this role, Jennifer is a frequent speaker at software development conferences around the world. In 2016, Jennifer was recognized as one of the “top 100 most influential individuals in artificial intelligence and machine learning” by Onalytica. She has been featured in Bloomberg for her work using EEG and machine learning to perform lie detection. In 2009, Jennifer was chosen as “Techie whose innovation will have the biggest impact” by X-OLOGY for her work with GiveCamps, a weekend-long event where developers code for charity. She has also received many honors from Microsoft, including the Central Region Top Contributor Award, Heartland District Top Contributor Award, DPE Community Evangelist Award, CPE Champion Award, MSUS Diversity & Inclusion Award, and Gold Club. Prior to becoming a Developer Evangelist, Jennifer was a software developer in Microsoft’s Natural Interactive Services division. In this role, she earned two patents for her work in search and data mining algorithms. Jennifer has also held positions with Ford Motor Company, National Instruments, and Soar Technology. Jennifer holds a Bachelor’s Degree in Computer Engineering and Master’s Degree in Computer Science and Engineering from the University of Michigan in Ann Arbor. Her graduate work specialized in artificial intelligence and computational theory.