Axel Hochstein, Ph.D. Email and Phone Number

Department for Information, Communication, and BusinessTeaching and Research in areas of Enterprise Systems, Decision Support Systems, Business Intelligence, Analytics, Data Science, and Data Visualization

- Leading internal and external data science projects for GE’s “Industrial Internet” program- Applying machine learning techniques and statistical methods for predictive analytics and optimization within GE’s industrial domains such as aviation, oil and gas, power and water, and healthcare- Developing algorithms and novel methods for intelligent systems capable of scaling up to very large datasets using MapReduce and similar parallelization paradigms - Developing standards and libraries for ETL and analytical pathways

http://researcher.watson.ibm.com/researcher/view.php?person=us-ahochst- Research and development in the areas of data mining, machine learning, and analytics for sensor networks environments with a special focus on condition-based decision making in domains such as mining, automotive, and oil and gas, buildings management, finance and systems management- Invented and implemented fundamental techniques for solving key challenges in typical sensor network environments, dealing with multivariate time series data characterized by heterogeneous behavior and entailing subtle effects often caused a long time before actually observable- Invented and implemented techniques for dealing with HDLSS data using novel ensemble learning techniques- Led research and development team for integrating predictive analytics capabilities into IBM’s new offering “Predictive Maintenance and Quality” (PMQ)

http://logic.stanford.edu/~ahochstein/