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KDD 2018 Weekly Summary - July 27, 2018

This year KDD features many distinguished speakers and special events. This newsletter summarizes our speakers, events and the highlights of the conference. We hope this will help you plan for an exciting KDD 2018 in London. More information on everything you see below is available on the website at www.kdd.org/kdd2018. We’ll see you soon!

Registration update: we have 2800 attendees registered so far, a record in KDD history. Reserve your spot today before registration fills up – we’re already starting to run out of space!

KDD 2018 Opening Session (20 August)

The Rt Hon Lord Bates, Minister of State for International Development, Member of House of Lords

Keynotes (21-23 August)

Data Science for Financial Applications
David Hand, Emeritus Professor of Mathematics and Senior Research Investigator, Imperial College London

Market Design and Computerized Marketplaces
Alvin E. Roth, Professor of Economics, Stanford University

On Big Data Learning for Small Data Problems
Yee Whye Teh, Professor, Oxford University; Research Scientist, DeepMind

Data for Good
Jeannette M. Wing, Director of the Data Sciences Institute, Columbia University

Applied Data Science Invited Talks (21-23 August)

Computational Advertising at Scale
Suju Rajan, VP, Head of Research, Criteo

Building Near Real-time Contextual Recommendations for Active Communities on LinkedIn
Hema Raghavan, Senior Manager, AI for Growth and Communication Relevance, LinkedIn

SysML: On System and Algorithm co-design and Automatic Machine Learning
Eric Xing, Professor of Computer Science, Carnegie Mellon University; Founder and CEO, Petuum Inc.

The Pinterest Approach to Machine Learning
Grace Huang, Data Science Manager, Pinterest

Algorithms, Data, Hardware and Tools - a Perfect Storm
Alex Smola, Director, Amazon Web Services, Amazon
Edo Liberty, Senior Manager of Research, Amazon Web Services, Amazon

Software 2.0 and Snorkel: Beyond Hand-Labeled Data
Christopher Ré, Associate Professor, Department of Computer Science, Stanford University

Challenges and Innovations in Building a Product Knowledge Graph
Luna Dong, Principal Scientist, Amazon

Data Science at Flipkart - An Indian E-Commerce Company
Mayur Datar, Chief Data Scientist and VP of engineering, Flipkart

Planet-Scale Land Cover Classification With FPGAs
Joseph Sirosh, Chief Technology Officer of Artificial Intelligence, WW Commercial Business, Microsoft

Data Science and Entertainment Production
Jen Walraven, Manager, Science & Analytics, Netflix

The U.S. Census Bureau Adopts Differential Privacy
John Abowd, Chief Scientist and Associate Director for Research and Methodology, U.S. Census Bureau

Humans, Jobs, and the Economy: The Future of Finance in the Age of Big Data
James Hodson, Chief Science Officer, Cognism

Global AI Initiatives Session (22 August)

Chair, speakers and panelists:

  • Dame Wendy Hall, Regius Professor of Computer Science, University of Southampton
  • Sana Khareghani, Deputy Director Head of Office for Artificial Intelligence, UK Government
  • William Carter, Deputy Director and Fellow, Center for Strategic & International Studies, US
  • Bo Zhang, Member of the Chinese Academy of Sciences, Professor of Computer Science, Tsinghua University
  • Maarten de Rijke, Professor of Information Retrieval, University of Amsterdam
  • Tze-Yun Leong, Professor of Computer Science, National University of Singapore
  • Ott Velsberg, CDO, Estonian Government

Deep Learning Day (20 August)

AI and Security: Lessons, Challenges and Future Directions
Dawn Song, Professor in the Department of Electrical Engineering and Computer Science, UC Berkeley

The Natural Language Decathlon: Multitask Learning as Question Answering
Richard Socher, Chief Scientist at Salesforce and Adjunct Professor at the Stanford Computer Science Department

A Deep Learning Framework for Designing Graph Algorithms
Le Song, Associate Professor of Computer Science, Georgia Institute of Technology; Principal Engineer, Ant Financial, Alibaba

From RNNs to Transformers: a Graph Neural Networks Perspective
Oriol Vinyals, Sr Staff Research Scientist, Google DeepMind

How To Beat Empirical Risk Minimization
Ali Rahimi, Research Scientist, Google

Conditional Molecule Design with Recurrent and Graph Neural Networks
Kyunghyun Cho, Assistant Professor of Computer Science and Data Science, New York University; Research Scientist, Facebook AI Research

Building the Software 2.0 Stack
Andrei Karpathy, Director of AI, Tesla

Automated Scalable Bayesian Inference via Data Summarization
Tamara Broderick, ITT Career Development Assistant Professor in the Department of Electrical Engineering and Computer Science, MIT

Learning Representations of Large-scale Information Networks
Qiaozhu Mei, Associate Professor, Department of Electrical Engineering and Computer Science, University of Michigan

Software for Deep Learning: an Overview of PyTorch and Others
Soumith Chintala, Artificial Intelligence Research Engineer, Facebook

Health Day (20 August)

Plenary Panel Discussion: Saving Lives with Data Science


  • Tae Hyun Hwang, Assistant Professor, Cleveland Clinic
  • Carly Eckert, Medical Director, KenSci
  • David Lowe, Clinical Research Fellow, NHS Scotland
  • Scott Wagers, CEO, BioSci Consulting
  • Bharat Rao, Partner & Leader Data Analytics for Healthcare & Life Sciences, KPMG

Panel chaired by:

Ankur Teredesai, Co-founder and Chief Technology Officer, KenSci; Professor in Computer Science & Systems, University of Washington

KDD 2018 Plenary Panel (21 August)

Plenary Panel Discussion: Societal Impact of Data Science and Artificial Intelligence


  • Foster Provost, Professor of Data Science and Information Systems and Andre Meyer Faculty Fellow at New York University’s Stern School of Business
  • James Hodson, CEO AI for Good Foundation and Senior Researcher at the Jozef Stefan Institute Artificial Intelligence Laboratory
  • Jeannette Wing, Avanessians Director of the Data Sciences Institute and Professor of Computer Science at Columbia University
  • Qiang Yang, New Bright Professor of Engineering, Chair Professor and Head of Department of Computer Science and Engineering, Hong Kong University of Science and Technology
  • Jennifer Neville, Associate Professor and Miller Family Chair of Computer Science and Statistics

Panel chaired by:

Claudia Perlich, Senior Data Scientist at Two Sigma, New York City

KDD 2018 Applied Data Science Invited Panel (22 August)

Panel Discussion: Who is a Data Scientist? Defining the Analytics Profession and Cutting Out the Hype and Confusion


  • Hamit Hamutcu, Managing Director, Analytics Center, Turkey
  • Kjersten Moody, Chief Data and Analytics Officer, State Farm Insurance, US
  • Narendra Mulani, Chief Analytics Officer and Head of Applied Intelligence, Accenture, US
  • Joseph Sirosh, CVP and CTO of AI, Microsoft, US
  • Kate Strachnyi, Advisory Program Manager, Deloitte, US
  • Katia Walsh, Chief Global Data and Analytics Officer, Vodafone Group, UK

Panel chaired by:

Usama Fayyad, Co-founder and CTO, OODA Health and Open Insights, USA

Project Showcase (22 August)

Keynote speakers:

  • John Davies, Chief Researcher, British Telecom
  • Nuria De Lama Sanchez, European Programs Manager, Atos Spain
  • Marko Grobelnik, Researcher, Jozef Stefan Institute
  • Chaitanya Baru, Senior Advisor, National Science Foundation, USA

KDD Cup Workshop (22 August)

Keynote speakers:

  • Rosalind O’Driscoll, Senior Policy Officer for Air Quality at the Greater London Authority
  • Marios Michailidis, Data Scientist at H2O.ai

Panel Discussion: How can Winning Data Science Competitions Benefit Your Career Development


  • Claudia Perlich, Senior Data Scientist at Two Sigma, New York City (4 Times KDD Cup Winner)
  • Jacob Spoelstra, Director of Data Science, Microsoft (KDD Cup Winner, 2nd Place at Netflix Grand Prize)
  • Marios Michailidis, Data Scientist, H2O.ai (Former #1 at Kaggle)
  • Abhishek Thakur, Chief Data Scientist, boost.ai (Former #3 at Kaggle)
  • Gilberto Titericz, Lead Data Scientist, Ople.ai (Former #1 at Kaggle)

Save the Date

KDD 2018 - London, United Kingdom. 19 - 23 August 2018

The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.

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