Data Visualization Tools

With a sharp increase in the volume and complexity of big datasets for research and drug discovery labs, data visualization is needed to clearly express the complex patterns. It is more important than ever to develop data visualization and exploration tools alongside the rest of the analytics, as opposed to later in the game. The Data Visualization Tools track will discuss new visualization tools, dashboards, and platforms, as well as ways that these tools can help solve problems, validate, and interpret the data science and artificial intelligence insights. How can your visualization methods be validated as to their ability to provide full analytic results that may extend well beyond 2 or 3 dimensions?

Preliminary Agenda

CREATING A NARRATIVE WITH YOUR DATA

FEATURED PRESENTATION: The State of the Art in Visualizing Multivariate Networks

Alexander Lex, PhD, Assistant Professor, SCI Institute, School of Computing, University of Utah

Visualizing the Clinical Research Landscape – And Why It Matters for Ethics, Efficiency, and Transparency

Spencer Hey, PhD, Faculty and Co-Director of Research Ethics, Harvard Center for Bioethics, Harvard Medical School

PLATFORMS TO FIND ACTIONABLE INSIGHTS

Tools to Find Actionable Insights in RWE

Johan Liwing, Director Market Access RWE Partnerships, Global Commercial Strategy Organization Janssen

Integrative Data Analysis Platform

Baohong Zhang, PhD, Director of Genome Informatics, Translational Biology, Biogen

Data-Driven Modeling Platform

Corrado Priami, PhD, President & CEO, COSBI

Semantic Data Integration Platform Supporting Personalized Healthcare by Pooling and Integrating Diverse Types of Data

Ewa Jermakowicz, IT Business Partner for Scientific Design Support, Roche

EXPLORING PHARMA R&D

Powering Question-Driven Problem Solving to Improve the Chances of Finding New Medicines

Samiul Hasan, PhD, Scientific Analytics and Visualization Director, Data and Computational Sciences, GlaxoSmithKline

Computational Efforts on Drug Repurposing for Rare Diseases

Bin Li, PhD, Director, Computational Biology, Takeda Pharmaceutics


Platinum Sponsors

accenture

BenchlingNEW

Elsevier-square

L7-informatics

linguamatics

PerkinElmer

Weka