dshjcochair

Claudia Perlich, PhD - Chief Scientist, Dstillery & Senior Data Scientist, Two Sigma, USA

Claudia Perlich is the Chief Scientist of Dstillery and Senior Data Scientist of Two Sigma.

As Chief Scientist at Dstillery, Claudia is the visionary leader behind the design, development, analysis and optimization of the machine learning that drives digital advertising to prospective customers of brands.

As an active industry speaker and frequent contributor to industry publications, Claudia has emerged as one of the most prominent data scientist in the industry. Most recently, Claudia acted as the first female general chair of the premier data science conference KDD 2014. Additionally, she was named one of American Marketing Association's (AMA) 4 Under 40 Marketing Emerging Leaders Award, Fast Company's 100 Most Creatives and Crain's 40 under 40. Claudia has published over 50 scientific articles and holds multiple patents in machine learning.

She has won many data mining competitions as well as the KDD Best Paper Award for Data Leakage in 2011 and Bid Optimization in 2012.

Prior to joining Dstillery, she worked in Data Analytics Research at IBM's Watson Research Center, concentrating on data analytics and machine learning for complex real-world domains and applications.

Claudia has a PhD in Information Systems from NYU and an MA in Computer Science from the University of Colorado. Claudia takes active interest in the making of the next generation of data scientists and is teaching "Data Mining for Business Intelligence" in the NYU Stern MBA program. 

Lauren S. Moores, PhD - VP Data Strategy and Data Sciences, Indigo, USA

Lauren Moores is a data geek and strategist who uses dirty, disparate data to optimise business practices with relevant metrics and insightful stories. She has over 25 years in data strategy, data science and data creation in various information and tech industries, including a PhD in Economics from Brown University.   

Lauren is currently the VP, Data Strategy and Data Sciences at Indigo, a precision agriculture startup focused on innovative solutions of biostimulants in seed coating and tools of precision agriculture in partnership with farmers.  Her focus at Indigo is to combine emerging agronomy and other data with data science to provide new information products.

Lauren's previous roles include a focus on information services, behavioral insights and advertising technology platforms.  Most recently, Lauren ran data analytics and data strategy at Tala, a global fintech startup that transforms mobile behavioral and transactional data to provide financial identities to the underserved in emerging economies.  

Prior to Tala, Lauren served as VP, Strategy for Dstillery, a cross-device digital intelligence platform, and Chief Science Officer for EveryScreen Media, a mobile RTB and audience technology company acquired by Dstillery. Prior to EveryScreen, Lauren managed the science, data assets and data engineering teams at WPP's Kantar Compete, building large, global, multi-sourced digital consumer research panels and consumer analytics.

Lauren is an active speaker and writer on innovation through mobile data, technology and analytics, including prior lecturing at Brown, NYU and UCLA. She is on multiple boards, including the data advisory board for the USA for UNHCR, a non-profit which supports the UN Refugee Agency and the data science board for I-COM, a global organization focused on smart data marketing.  Lauren holds multiple patents in audience measurement and metadata creation and she advises entrepreneurs and start-ups regarding data and data technology.  Past companies include: Similar Web, Unbound Concepts, JumpShell TapDog and others. 

Brian D'Alessandro - Head of Data Science, SparkBeyond, USA

Brian d'Alessandro is Head of Data Science of SparkBeyond.

Most recently, he was the Head of Data Science at Zocdoc, a NYC-based startup that enables digital discovery and instant booking for healthcare appointments. Brian is an experienced data science leader and innovator in the marketing community, having published several dozen peer reviewed white papers and earning multiple patents, both at Facebook and Dstillery.

Brian is also an adjunct Professor for the NYU Data Science program and is an active member of the ACM SigKDD conference organizing committee.

He is a long-time volunteer for Datakind and regularly advises or leads data mining projects for various non-profit organizations. Brian is also the drummer for the critically acclaimed indie rock band COASTGAARD.