Boston | April 13th – April 17th, 2020

Research Frontiers

The Most Advanced Active Research, Summarized

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 that can be a daunting task.

The Most Advanced Research, Summarized

The Data Science Research track is the first of its kind.  Instead of having to parse the contents of countless papers or attend academic conferences we bring the best to you.  World-class academics, researchers, and professionals summarize the latest research across focus areas and detail what’s important.  This accelerates your insights on the latest research and serves as a foundation for more in-depth analysis.

Some of Current Research Frontiers Speakers

Click Here For Full Lineup
2020 Speakers

Focus Area: Research Frontiers      Session: Talk 

AI-driven Program Synthesis

Armando Solar-Lezama, PhD, Associate Professor, MIT

Focus Area: Research Frontiers      Session: Tutorial 

Opening the Pod Bay Doors: Building Intelligent Agents That Can Interpret, Generate and Learn from Natural Language

Jacob Andreas, PhD, Assistant Professor, MIT CSAIL

Focus Area: Research Frontiers      Session: Talk 

Web Crawling for Research Data

Shan Jiang, PhD, Assistant Professor, University of Massachusetts, Boston

Focus Area: Research Frontiers, Deep Learning      Session: Talk 

Hybrid Deep Learning Approach to Speed up Reservoir Performance Forecast

Cheng Zhan, PhD, Senior Data Scientist, Oxy

Focus Area: Research Frontiers, Machine Learning      Session: Talk 

Biomarker, Sleep, And Activity Patterns Data From A Web-Based Nutrition Platform For Healthy Individuals: Insights For Personalized Recommendations

Svetlana Vinogradova, PhD, Data Scientist | Research Fellow, Inside Tracker | Dana-Farber Cancer Institute

Focus Area: Research Frontiers, Deep Learning      Session: Talk 

Continuous Learning Systems: Building ML Systems That Learn from Their Mistakes

Anuj Gupta, PhD, Senior Manager, Data Science, Intuit

Active Research Focus Areas

Data science is a broad and expanding field which 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

Previous Sessions on Research Frontiers Track

  • Workshop: Deciphering the Black Box: Latest Tools and Techniques for Interpretability

  • Talk: Adversarial Attacks on Deep Neural Networks

  • Training: Integrating Pandas with Scikit-Learn, an Exciting New Workflow

  • Workshop: Machine Learning for Digital Identity

  • Talk: Adding Context and Cognition to Modern NLP Techniques

  • Training: Good, Fast, Cheap: How to do Data Science with Missing Data

  • Workshop: Open Data Hub workshop on OpenShift

  • Talk: Practical AI solutions within healthcare and biotechnology

  • Training:  Apache Spark for Fast Data Science (and Fast Python Integration!) at Scale

  • Workshop: Reproducible Data Science Using Orbyter

  • Talk: Combining millions of products into one marketplace using computer vision and natural language processing

  • See the whole schedule!

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 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 professional 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 of us 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 new data science applications

  • Industry experts looking to access the impact of data science

Sign Up for ODSC East | April 13th – April 17th, 2020

Register Now