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Training on Visual Analytics for Life Sciences & Health

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Training on Visual Analytics for Life Sciences & Health

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About the program

Recent developments in various information and communication technologies have led to many new opportunities in the Life Sciences & Health (LSH) sector. To benefit from these developments and fully grasp these new opportunities, professionals (researchers as well as practitioners) working in this sector should further develop their digital skills, especially those with respect to concerning data science.

In the context of the Helis Academy, and as part of its data analysis and stewardship program, Eindhoven University of Technology (TU/e) and its partners provide a series of training sessions for (aspiring) professionals in the LSH sector on various methods, techniques, tools and best-practices related to data science, including "statistics", "data mining using (automated) machine learning", "process-aware data mining using process mining", "deep learning" and "visual analytics".

About the training

This online program, designed by TU/e and its partners, equips you with knowledge needed to transform your career. Through an engaging mix of introductions to key concepts and technologies, business insights and examples, you'll explore the reality of data science technologies today and how they can be harnessed to support your work. Focusing on key data science technologies, such as machine learning, the program helps you understand to implications of these new technologies for the future of the LSH sector.

This online program is unique as it provides ample opportunity for you to interact with experts of TU/e as well as with the experienced experts from industry and to get new insights first-hand from them. We provide the opportunity to get insights on theory, current practice in industry and expected possible future practice in industry within just one day, right from behind your own PC.

Additionally, before the session we provide personal technical assistance on getting software up and running on your own PC and during the session we provide Dutch language support.

Prerequisites

Background in a specific discipline is not required. Some familiarity with machine learning such as supervise and unsupervised methods. Basic algorithmic and programming skills.

Who will you learn from?!

  • Prof. dr. Anna Vilanova (TU/e) is full professor in visual analytics at the TU/e Department of Mathematics and Computer Science. She is also associated to the Electrical Engineering Department within the Signal Processing Systems at TU/e. She is leading a research group in the subject of visual analytics and multivalued image analysis and visualization, focusing on Visual Analytics for high dimensional data. She focuses on Biomedical applications, Diffusion Weighted Imaging and 4D Flow. She is member of relevant conference IPC and associate editor of relevant journals in visualization and visual analytics (e.g., IEEE Visualization, EG- IEEE VGTC-EuroVis, Computer Graphics Forum). She was member of the steering committee of IEEE VGTC EuroVis since 2014 -2018. She is elected member of the EUROGRAPHICS (EG) executive committee since 2015 and vice president of EUROGRAPHICS since 2019. She also became EG Fellow in 2019.
  • dr. ir. Bram Cappers (AnalyzeData) is co-founder of the startup AnalyzeData and postdoctoral researcher at Eindhoven University of Technology. In 2018 he finished his Ph.D. in the area of data visualization and cybersecurity where he developed new software to visually detect patterns and anomalies in large event collections. Outside security the software has been used in various domains including the workflow analysis of patient treatments in a hospital. He has won numerous awards in the area of data science and presented his technology at prestigious events such as BlackHat USA 2018, Innovation for Health 2018, and Still Hacking Anyway 2017.
  • dr. Jan-Kees Buenen (SynerScope) has strong executive experience in multiple international packaging companies. Holding commercial leadership roles at European and Global level he pushed working with data throughout his enterprise career. From the early nineties, he led multiple initiatives for BI, Budgeting Systems, Production forecasting & Logistics, CRM, EDI, Intranet and Extranet, Self-Billing and supply chain tracing and modeling. He was part of management teams that transformed manufacturing through SPC (statistical process control) and Visual Management to help push autonomous manufacturing teams to a next level.
  • dr. Tom de Krom (SynerScope) holds a Master in Applied Physics from the Delft University of Technology, he has had his fair share of encounters with complex problems and a large amount of data. He has been using rare techniques such as muon-spectroscopy and knows how to deal with challenges for which there are no known solutions yet. During his internship as a financial analyst at one of the largest Dutch insurance companies, his interest in software engineering, data analysis and data-driven businesses was further developed. Combining his passions with his capabilities, Tom is determined to enhance clients’ data-driven decisions as a SynerScope’s solution engineer.

Who is this training for?

This training is aimed at (employers of) (aspiring) science and engineering professionals (researchers and practitioners) working in industry performing R&D and (technological) innovation aimed at the development of (enabling systems for developing) products, components, systems, services, processes, best-practices, etc. for (improving) specific applications in the Life Sciences & Health sector.

Schedule

09:00 - 09:30 Introduction to the event by ir. Harold Weffers, PDEng (TU/e)

09:30 - 11:30 Introduction to visual analytics by dr. Anna Vilanova (TU/e)

11:30 - 12:30 Guided examples of practical applications of visual analytics in the Life Sciences & Health context by dr. ir. Bram Cappers (AnalyzeData)

12:30 - 13:30 Break

13:30 - 14:30 Guided examples of practical applications of visual analytics in the Life Sciences & Health context by dr. ir. Bram Cappers (AnalyzeData)

14:30 – 16:00 Examples of data visualization in industry by dr. Tom de Krom and dr. Jan-Kees-Buenen (SynerScope)

16:00 Closing

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