Xin Fu is a Director of Data Science at LinkedIn. He and his team are responsible for driving product innovation through creative use of data, ranging from inferential analysis and online experimentation, to creation of analytics platforms and data products. Xin holds a PhD in Human-Computer Interaction and a MS in Statistics from the University of North Carolina at Chapel Hill. Prior to joining LinkedIn, Xin worked at Google and Microsoft. He has authored over 50 refereed papers and journal articles in the areas of information organization and retrieval, Web search interface, and online user behavioral measurement.
Hernán Asorey is the VP of Product Data Science at Salesforce. In this key leadership position, Hernán and team are responsible for transforming product ideation, development, and customer engagement to an evidence-driven culture where intelligence becomes an intrinsic part of the product to ship. Hernán manages, grows, and inspires a world-class team of data experts across all information spectrum: information engines (digest), analytics engines (visualize), data science (apply), experimentation and optimization (test and learn). Prior to Salesforce, Hernán held different roles in fields related to large-scale data analytics, data warehousing, business intelligence, data mining, social media analytics, and HR analytics at companies such as Sears Holdings, Hewlett Packard, eBay, and Microsoft. Hernán has a degree in Information Systems Engineering with specialization on Applied Math; additionally, he graduated in 2011 from Stanford Executive Program, Graduate School of Business. Hernán also spent 5 years in academia as a lecturer at the Math Department in The School of Engineering in Buenos Aires, Argentina on Discrete Math, Calculus, and Fractal Theory.
Hernán Asorey is the VP of Product Data Science at Salesforce. In this key leadership position, Hernán and team are responsible for transforming product ideation, development, and customer engagement to an evidence-driven culture where intelligence becomes an intrinsic part of the product to ship. Hernán manages, grows, and inspires a world-class team of data experts across all information spectrum: information engines (digest), analytics engines (visualize), data science (apply), experimentation and optimization (test and learn). Prior to Salesforce, Hernán held different roles in fields related to large-scale data analytics, data warehousing, business intelligence, data mining, social media analytics, and HR analytics at companies such as Sears Holdings, Hewlett Packard, eBay, and Microsoft. Hernán has a degree in Information Systems Engineering with specialization on Applied Math; additionally, he graduated in 2011 from Stanford Executive Program, Graduate School of Business. Hernán also spent 5 years in academia as a lecturer at the Math Department in The School of Engineering in Buenos Aires, Argentina on Discrete Math, Calculus, and Fractal Theory.