San Francisco | Oct 29th – Nov 1st, 2019

Research Frontiers

The Most Advanced Active Research, Summarized

Data Science Research Tracks

Rapid Pace of Advancement

Data Science is a broad field and advancing at a tremendous pace. Every few months new research, models, and advances are announced.  For data science practitioners, it’s essential to keep abreast of the latest advances. However, given the demands on our time this can be a daunting task.

The Most Advanced Research, Summarized

The Data Science Research track is the first of its kind. You don’t have to parse the contents of countless papers or attend academic conferences; instead, we bring the most relevant information to you.  World-class academics, researchers, and professionals summarize the latest research across focus areas, and detail what’s important.  

Some of Our Current Speakers

Jason Yosinski, PhD
Jason Yosinski, PhD

Co-founder & Research Scientist at Uber AI Labs

Dawn Xiaodong Song, PhD
Dawn Xiaodong Song, PhD

University of California - Berkeley, BAIR Lab

Sriram Sankararaman, PhD
Sriram Sankararaman, PhD

Professor at University of California - Los Angeles

Gerald Quon, PhD
Gerald Quon, PhD

Assistant Professor at UC Davis Machine Learning & AI Group

Nelson Johansen
Nelson Johansen

PhD Candidate at UC Davis

Dinesh Manocha, PhD
Dinesh Manocha, PhD

Senior Consultant, Distinguished Professor at Baidu AI Labs, University of Maryland

Mayank Kejriwal, PhD
Mayank Kejriwal, PhD

Research Scientist/ Research Assistant Professor at USC Information Sciences Institute

Phebe Vayanos, PhD
Phebe Vayanos, PhD

Assistant Professor, Associate Director

USC Center for AI in Society

Active Research Focus Areas

Data science is a broad and expanding field with many areas of study. Here are some of the main areas that our presenting researchers will address:
  • Neural Networks

  • Machine Learning

  • Transfer Learning

  • Machine Vision

  • Natural Language Processing

  • Predictive Analytics

  • Pattern Recognition

  • Quantitative Finance

  • Speech Recognition

  • Time Series Analysis

  • Graph Theory

  • Network Analysis

  • Data Visualization

  • Anomaly Detection

Why Attend?

Hear from world-class researchers and academics about the top areas of active research

Take time out of your busy schedule to accelerate your knowledge of the latest advances in data science

Be the first amongst your peers to grasp changes that will affect the field over the next few years

Take advantage of another 120 talks, tutorials, and workshops at ODSC West

Learn directly from top researchers what works and what doesn’t 

Connect and network with academics, research, and fellow professionals

Meet with peers and professionals looking to learn, connect, and collaborate

Get access to other focus area content, including ML / DL, Data Visualization, Quant Finance, and Open Data Science

Who Should Attend

The Data Science Research track will prove invaluable to those looking to quickly understand in detail the topics that matter most in data science now

  • Experienced data scientists

  • Students and academics

  • Software engineers and architects

  • Business professionals interested in data science advancements

  • Experts from other domains looking to leverage data science

  • Beginners interested in the latest research

  • Researchers from academia and industry

  • Industry professionals

  • Technologists interested in new data science applications

  • Industry experts looking to access the impact of data science

Sign Up for ODSC WEST | Oct 29th – Nov 1st, 2019

Register Now