Boston | April 30th - May 3rd, 2019

Data Science Research

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 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 Our Current Speakers

Laura Noren, PhD
Laura Noren, PhD

Director of Research, Professor at Obsidian Security, NYU Stern School of Business

Alex S. Felmeister, PhD
Alex S. Felmeister, PhD

Supervisor, Data Integration at Children's Hospital of Philadelphia

George Williams
George Williams

Director of Data Science at GSI Technology, Inc.

Alyssa Columbus
Alyssa Columbus

Data Scientist at Pacific Life

Douglas Blank
Douglas Blank

Professor of Computer Science | Core Developer of ConX at Bryn Mawr College

Andrew Long, PhD
Andrew Long, PhD

Data Scientist at Fresenius Medical Care

Mico Yuk
Mico Yuk

CEO and Founder at BI Brainz and the BI Dashboard Formula

Joseph Ross, PhD
Joseph Ross, PhD

Data Scientist at SignalFx

Kishore Kumar Reddy, PhD
Kishore Kumar Reddy, PhD

Staff Research Engineer at United Technologies Research Center

Sihem Romdhani
Sihem Romdhani

Software Engineer at Veeva Systems

Richard Liaw
Richard Liaw

AI Researcher at RISELab at UC Berkeley

Adem Efe Gencer, PhD
Adem Efe Gencer, PhD

Software Engineer at LinkedIn

Rishabh Mehrotra, PhD
Rishabh Mehrotra, PhD

Research Scientist at Spotify Research

Anirudh Koul
Anirudh Koul

Head of AI & Research at Aira

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

Sessions on Data Science Research 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 30th - May 3rd, 2019

Register Now