I am the head of Machine Learning at Splunk.
My group applies and advances the state of the art in machine learning in areas relevant to Splunk.
We also develop machine learning based insights that power Splunk’s core products.
Prior to Splunk, I worked at Databricks where I led all engineering and product development for the Genomics Vertical and started the R&D center for Apache Spark in Amsterdam.
Prior roles also include Principal Scientist at Yahoo Research where I focused on large scale machine learning and real time machine learning in search and display advertising as well as login risk detection.
I hold a PhD in Theoretical Physics from the University of Maryland.
I am an Apache Spark PMC Member and Committer and in my spare time create and maintain open source projects like Magellan (fast geospatial analytics on top of Spark).