Presented By O'Reilly and Cloudera
Make Data Work
December 1–3, 2015 • Singapore
Jennifer Marsman

Jennifer Marsman
Principal Software Engineer, Microsoft

Website | @JenniferMarsman

Jennifer Marsman is the principal software engineer for Microsoft’s AI for Earth Group, where she uses data science, machine learning, and artificial intelligence to aid with clean water, agriculture, biodiversity, and climate change. She has been featured in Bloomberg for her work using EEG and machine learning to perform lie detection. Previously, Jennifer was a software developer in Microsoft’s Natural Interactive Services Division, where she authored two patents related to search and data mining algorithms. She has also held positions with Ford Motor Company, National Instruments, and Soar Technology. Since 2016, Jennifer has been recognized as one of the top 100 most influential individuals in artificial intelligence and machine learning by Onalytica, reaching the #2 slot in 2018, and in 2009 was chosen as the “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 Best in Role award for technical evangelism, Central Region Top Contributor Award, Heartland District Top Contributor Award, DPE Community Evangelist Award, CPE Champion Award, MSUS Diversity and Inclusion Award, Gold Club, and Platinum Club. Jennifer is a frequent speaker at software development conferences around the world. She holds a bachelor’s degree in computer engineering and a master’s degree in computer science and engineering from the University of Michigan in Ann Arbor, where she specialized in artificial intelligence and computational theory. To learn more, check out her blog.

Sessions

4:50pm–5:30pm Wednesday, 12/02/2015
Data Science and Advanced Analytics
Location: 321-322 Level: Intermediate
Jennifer Marsman (Microsoft)
Average rating: ****.
(4.50, 6 ratings)
Using the EPOC headset from Emotiv, I can capture the big data stream of EEG from our brains. I will share my results on a “lie detector” experiment comparing brain waves when telling the truth and lying. I have built classifiers based on the EEG data using Azure Machine Learning to predict whether a subject is telling the truth. The effectiveness of multiple classifiers can be easily compared. Read more.