ODSC Europe Virtual Conference | September 17 - 19, 2020

Data Science Research Frontiers

The Most Advanced Active Research, Summarized

Data Science Research

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 developments. However, given the demands on your 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. Let our world-class academics, researchers, and professionals summarize the latest research across focus areas and detail what’s important.  This accelerates your understanding of the latest research and serves as a foundation for more in-depth analysis.

Some of Our Previous Speakers

Julia Lintern
Julia Lintern

Senior Data Scientist at Metis

Karina Vold, PhD
Karina Vold, PhD

AI Researcher at University of Cambridge

Dr. John D. Kelleher
Dr. John D. Kelleher

Author and Academic Leader at Dublin Institute of Technology

Norma Padron, PhD
Norma Padron, PhD

Asst. Health Economics Professor and Assc. Dr. of Population Health Research at Thomas Jefferson University

Mason Victors
Mason Victors

VP, Data Science at Recursion Pharmaceuticals

Dr. Martin Haugh
Dr. Martin Haugh

Associate Professor of Operations Management | Imperial College

Gonzalo Mateos
Gonzalo Mateos

Assistant Professor of Electrical and Computer Engineering | University of Rochester

Pei-Hao, PhD
Pei-Hao, PhD

Co-founder, Chief Scientist | PolyAI

Marius Lindauer, PhD
Marius Lindauer, PhD

Junior Research Group Lead; PhD | University of Freiburg; automl.org

Tsung-Hsien Wen, PhD
Tsung-Hsien Wen, PhD

Chief Scientist at PolyAI

Past Participating Labs

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 be addressing:
  • Neural Networks

  • Machine Learning

  • Transfer Learning

  • Machine Vision

  • Natural Language Processing

  • Predictive Analytics

  • Pattern Recognition

  • Quantitative Finance

  • Speach Recognition

  • Time Series Analysis

  • Graph Theory

  • Network Analysis

  • Data Visualization

  • Anomaly Detection

Why Attend?

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

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

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

Take advantage of and chose from another 80 talks, tutorials, and workshops at ODSC Europe

Learn from top researchers what works and what doesn’t 

Network with academics, researchers, 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 EUROPE 2020 Virtual Conference | September 17 - 19

Register Now