Joseph Ross's Email Addresses & Phone Numbers

Principal Data Scientist @ Splunk San Jose, CAChief Data Scientist @ SignalFx From May 2019 to September 2019 (5 months) Researcher @ University Duisburg Essen Conducted research in algebraic geometry, taught graduate courses From October 2009 to August 2011 (1 year 11 months) Essen, GermanyLead Data Scientist @ SignalFx Prototyped and implemented novel time series processing algorithms...

Principal Data Scientist @ Splunk San Jose, CAChief Data Scientist @ SignalFx From May 2019 to September 2019 (5 months) Researcher @ University Duisburg Essen Conducted research in algebraic geometry, taught graduate courses From October 2009 to August 2011 (1 year 11 months) Essen, GermanyLead Data Scientist @ SignalFx Prototyped and implemented novel time series processing algorithms (exponential smoothing, stationarity detection, correlation) and sampling algorithm for distributed traces. Five provisional patents, four research articles, many conference presentations related to this work (online algorithms, histogram estimators).Wrote library of algorithms to perform anomaly detection, outlier detection, monitoring-specific tasks by adapting time series models to real-time streaming setting. Currently used in hundreds of production alerts across customers.Consulted on probabilistic/statistical aspects of algorithm design and ensured statistical correctness of implementations. Provided customer support on use cases requiring advanced analytics. Collaborated with product, marketing, sales (content and messaging).Recent conference presentations: Monitorama PDX: https://vimeo.com/341144023Monitorama EU: https://www.youtube.com/watch?v=_AgJnYLQkiU (at 6:26)Open Data Science Conference (3)DataSciCon.Tech From January 2016 to May 2019 (3 years 5 months) San Mateo, CASenior Data Scientist @ Ayasdi Solved customer problems across verticals (financial services, healthcare, security) by combining Ayasdi technology with traditional machine learning techniques. Based on experience with customer data, built modules to support common workflows and allow for rapid experimentation. Developed methods for feature generation and selection.Led research efforts around sampling strategies and ensemble methods. Identified traditional methods which could be enhanced by Ayasdi technology and vice versa. Multiple technical presentations both to data science organization and engineering/product.Prototyped novel predictive methods and collaborated with engineering/product on design of predictive modeling stack. Worked with engineering to ensure mathematical correctness of implementations. Advised sales and product organizations to match customer use cases with Ayasdi capabilities. Worked with sales organization to generate buy-in from technical counterparts on the customer side. Frequent interactions with statisticians/data scientists during projects and presentations to executive sponsors. From September 2014 to January 2016 (1 year 5 months) Menlo Park, CAAssistant Professor of Mathematics (non tenure track) @ University of Southern California Conducted research in algebraic geometry, mentored graduate students, taught undergraduate courses From August 2011 to May 2014 (2 years 10 months) Los Angeles, CA