ODSC APAC Virtual Conference 2020 | December 8 - 9, 2020

Data Visualization

Explore the beauty of visualization brought to you by the world’s most creative minds
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Data Visualization

The Data Visualization track is co-located with ODSC APAC to bring together the world’s most creative minds that are changing the way we visualize, understand, and interact with data. Join a community of designers, data scientists, and developers to learn the art of storytelling, information communication, and data visualization using the latest open source tools and techniques.

Led by top data visualization experts, we offer multiple talks, workshops and interactive presentations to help you further your skills and your ability to create beautiful, insightful, and actionable data graphics and visuals.

Some Previous Speakers

Research FellowHarvard University

Zona Kostic, PhD

Zona Kostic is a research, teaching, and innovation fellow at Harvard University. Her professional interests are at the intersection of data visualization, machine learning, and digital realities, with current research activities being specifically focused on semantic visual similarity and smart web-based interfaces. Previously, Zona was part of the Harvard Visual Computing Group developing immersive visual analytics systems that support the overlay of digital information over physical objects. She published six books, and a number of research works at scientific journals and conferences. Zona is also a co-founder of ArchSpike, a small venture that integrates data science and visualization with market modeling, allowing users to design buildings that better respond to future market demands.

Smart Technologies in Enhancing Browsing Experiences(Talk)

Senior Data ScientistTransfix

Filip Piasevoli

Filip Piasevoli is a Senior Data Scientist at Transfix, the leading freight marketplace connecting shippers to a national network of reliable carriers. The tools of his trade are Python, whiteboard sessions with his team, a dusty copy of The Elements of Statistical Learning, a large carafe of pour-over coffee, and StackOverflow. Fortune 500 companies such as Anheuser-Busch, Unilever, and Target rely on Transfix to handle their most important FTL freight needs. With instant pricing tools, guaranteed capacity, data-driven insights, and reliable service, Transfix is changing the world of transportation one load at a time. Transfix was named one of Forbes’ “Next Billion-Dollar Companies” in 2018.

Prior to joining Transfix, Piasevoli worked as a Data Scientist at 1010data, where he designed the analysis and user interface of a market intelligence tool reporting on the shopping behavior of 5 million U.S. consumers in more than 170 metro areas. Piasevoli holds a Master’s Degree in Computational Science and Engineering from Harvard University and a Bachelor’s Degree in Mathematics from Boston College.

How to Approach Time Series Forecasting Given Noisy and Sparse Data: an Example from the Trucking Industry(Talk)

learn data storytelling
Lead Data Storytelling TrainerStoryIQ

Diedre Downing

Diedre is a Lead Data Storytelling Trainer at StoryIQ where she helps organizations improve their communication with and about data. An accidental math teacher, Diedre learned the power of demystifying numbers in New York City classrooms and the power of influencing decision-makers with data during her time running WeTeachNYC.org for the NYC Department of Education. Diedre is an Adjunct Lecturer at Hunter College in New York and has spoken at NCTM, iNACOL, and Learning Forward about adult learning methodology and best practices in professional learning.

The Art (and Importance) of Data Storytelling(Talk)

Research ScientistThe Children’s Hospital of Philadelphia

Alex S. Felmeister, PhD

Alex leads a team of software developers and data analysts at the Department of Biomedical and Health Informatics at the Children’s Hospital of Philadelphia where he is focused on the development, implementation, and integration of applications designed to manage the complex nature of institutional and study-specific biorepositories and multi-modal data projects in biomedical research. His team created the novel use of a tool kit for multidisciplinary data-intensive informatics initiatives that include CHOP’s electronic honest brokering system. From 2008 through 2012, he served as the primary liaison for biomedical informatics in the Research Institute’s Center for Childhood Cancer Research and the Division of Oncology where he directed the long-term development and implementation of a fully-integrated cancer research informatics infrastructure and implementation of the Cancer Center’s Clinical Trials Management System (CTMS) and its subsequent integration with hospital clinical systems. Alex’s research involves signals from large clinical data sets to lower the human data-entry burden in preparation for machine learning data analytics in rare diseases. Alex holds his undergraduate degree from Temple University and completed his Masters and Doctoral studies in Information Science from Drexel University.

Methods to Derive Computable Information from Sparse Electronic Medical Record Data: a Guide for the Data Analyst in Biomedicine(Talk)

Author of nxviz Package

Eric Ma, PhD

Eric is an Investigator at the Novartis Institutes for Biomedical Research, where he solves biological problems using machine learning. He obtained his Doctor of Science (ScD) from the Department of Biological Engineering, MIT, and was an Insight Health Data Fellow in the summer of 2017. He has taught Network Analysis at a variety of data science venues, including PyCon USA, SciPy, PyData, and ODSC, and has also co-developed the Python Network Analysis curriculum on DataCamp. As an open-source contributor, he has made contributions to PyMC3, matplotlib, and bokeh. He has also led the development of the graph visualization package nxviz, and a data cleaning package pyjanitor (a Python port of the R package).

Network Analysis Made Simple(Training)

FounderOnPoint Insights

Nirav Shah

Nirav Shah is the Founder of OnPoint Insights, data analytics, software services, and staff augmentation consultancy based in Boston. He has 15 years of industry experience – mainly in consulting on data analytics, big data modeling, process analytics, and real-time data solutions, and training customers in data analytics, dashboards, and data visualization.

He consults and teaches in applying data analytics for manufacturing, operations, supply chain, process control strategies with clients to improve the manufacturing process and operational efficiency. He has implemented real-time process monitoring data analytics and fault detection systems for leading biopharma customers and clients from other industries such as chemical, pulp, and paper, food and beverages. He helps customers in providing better process insights using data-driven solutions.

He is also an Adjunct Professor at the University of Massachusetts in Boston where he teaches Engineering Process Analytics, a graduate-level class in the Engineering Department,  teaches Business Analytics and Dashboard Visualization at a technical college and conducts BootCamps and Workshops at General Assembly Boston.  He has taught courses and conducted workshops to industry clients on Multivariate Data Analysis for ten years. He has spoken at various conferences ( ODSC East Boston, ODSC India, Global AI).

He completed his dual Masters in Chemical and Computer Engineering from the University of Massachusetts and an MBA in Entrepreneurship from Babson College.

Data Analysis, Dashboards and Visualization – How to Create Powerful Visualizations Like a Zen Master(Training)

Paul Kowalczyk
Senior Data ScientistSolvay

Paul J Kowalczyk, PhD

Paul Kowalczyk is a Senior Data Scientist at Solvay. There, Paul uses a variety of toolchains and machine learning workflows to visualize, analyze, mine, and report data; to generate actionable insights from data. Paul is particularly interested in democratizing data science, working to put data products into the hands of his colleagues. His experience includes using computational chemistry, cheminformatics, and data science in the biopharmaceutical and agrochemical industries. Paul received his PhD from Rensselaer Polytechnic Institute, and was a Postdoctoral Research Fellow with IBM’s Data Systems Division.

Building Data Narratives: An End-to-End Machine Learning Practicum(Training)

ProfessorThe Ohio State University

Han-Wei Shen, PhD

Han-Wei Shen is a Full Professor at The Ohio State University. He is currently the Associate Editor in Chief of IEEE Transactions on Visualization and Computer Graphics. He is also the chair of the steering committee for IEEE SciVis conference. His primary research interests are scientific visualization and computer graphics. Professor Shen is a winner of National Science Foundation’s CAREER award and US Department of Energy’s Early Career Principal Investigator Award. He has served as an Associate Editor for IEEE Transactions on Visualization and Computer Graphics, a paper chair for IEEE Visualization, IEEE Pacific Visualization, and IEEE Parallel Visualization and Graphics. He is currently on the IEEE Visualization conference executive committee, and IEEE SciVis steering committee. He has published more than 50 papers in IEEE Transactions on Visualization and Computer Graphics and IEEE Visualization conference, the very top journal and conference. He received his BS degree from Department of Computer Science and Information Engineering at National Taiwan University in 1988, the MS degree in computer science from the State University of New York at Stony Brook in 1992, and the PhD degree in computer science from the University of Utah in 1998. From 1996 to 1999, he was a research scientist at NASA Ames Research Center in Mountain View California.

Deep Neural Networks Assisted Simulation Surrogates for Parameter Space Exploration(Workshop)

ODSC APAC Virtual Conference 2020 | December 8 - 9, 2020

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Who will attend

The Open Data Visualization Conference is where industry’s top creative minds gather to discuss and shape the most exciting trends and topics in data visualization. Whether you are a data visualization expert, or just starting your journey on better data presentation, this is the conference for you.

  • Thought leaders working in data science

  • Data visualization professionals

  • Graphic artists

  • Data scientists

  • UX designers

  • Business intelligence experts

  • Graphic designers

  • Media & publishing data storytellers

  • Startup founders and executives

Why Attend

Organizations are now understanding the need to break down big data to make it intuitive, insightfu,l and actionable. Be among the first to understand the power of data visualization.

Immerse yourself in two days of in-depth talks and workshops on data visualization and data science topics, tools, and languages.

Get full access to the full suite of recorded presentations on-demand post conference.

With an incredible lineup, this event will provide training and insight to professionals who understand their organization’s need to deliver compelling data visualization.

Get access to the Open Data Visualization Conference plus 3 other co-located conferences including open data science, big data science, and disruptive data science.

Connect with peers and top industry professionals at our many networking events to discover your next job, service, product, or startup.

ODSC APAC Virtual Conference 2020 | December 8 - 9, 2020

Register Now
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