Bio

As the Global Lead of Data & AI in Philips, Tina’s focus is to advance Data & AI powered propositions to actionable clinical, operational and consumer health insights. She also heads the Data Science & AI Center of Excellence, leveraging data science and AI to support Philips Businesses and Markets with the creation of smart connected devices, services, and solutions. In addition, Tina leads the Digital Research Division focusing, among other, on the Internet of Things, data science and AI. 

Prof. Dr. Anna Vilanova,  Full professor in Visual Analytics at the department of Mathematics and Computer Science, Eindhoven University of Technology. She is also associated to the Electrical Engineering department within the Signal Processing Systems at TU/e.

Previously she was associate professor for 6 years at the Computer Graphics & Visualization Group at EEMCS at the University of Deft, the Netherlands. From 2002 to August 2013, she was Assistant Professor at the Biomedical Image Analysis group of the Biomedical Engineering Department at TU/e. In 2005, Anna was awarded a NWO-Veni personal grant with title “Visualization of global tensor information for diffusion tensor imaging”. In 2013 she got a NWO-Aspasia. She is member of the international program committee of several conferences and has been chair and editor of relevant conferences and journals in her field of research.

Bio

Sofie Haesaert is an Assistant Professor in the Control Systems group of the Department of Electrical Engineering at Eindhoven University of Technology. Her research interests lie in the development of verification and control synthesis methods for cyber-physical systems.

Sofie Haesaert holds a bachelor’s degree in Mechanical Engineering and a master’s degree in Systems and Control from Delft University of Technology, both cum laude. As a master’s degree student, Haesaert spent a summer doing research at the University of Texas Arlington (USA). Haesaert obtained her PhD from Eindhoven University of Technology (TU/e) in 2017 and then went to Caltech (USA) for 17 months to do a postdoc. In 2018, Haesaert returned to TU/e to become Assistant Professor in the Control Systems group.

Bio

Since being a child, Zuzana had only one dream – make the world a better place. Since her first role as a Data Scientist during her master studies in Econometrics, she could see the potential of using data and technology in a smart way to focus on what matters the most – protect lives of the most vulnerable, optimization of industrial processes to reduce carbon emissions, provide insights to improve water quality, make AI systems more transparent and fairer. At Client Engineering team at IBM, her childhood dream came true. Her daily job is to design and build AI solutions that helps the companies, governments, and NGOs to achieve their goals while using the latest and coolest IBM technology.

Bio

After her masters in Econometrics and Management Science, Rianne started working as a consultant for EY for almost 4 years. Since 2016, she started working at PostNL where she grew in multiple roles. Rianne started as Data Scientist, grew to Senior Data Scientist, and now works as a Principal Data Scientist. She has a joint responsibility for the Analytics and Decision Support department. Rianne is happy to tell the WiDS audience more about business challenges tackled with Data Science at PostNL.  

Abstract

PostNL wants to be your favourite deliverer by delivering special moments. Focus on digitalization and data science is essential to accomplish this ambition. In this talk, Rianne will give you a glance of PostNL activities, and touch upon a range of business challenges tackled using data science. 

Bio

Petra Heck studied Computer Science at TU/e and holds a PhD from TU Delft (Quality of Just-in-Time Requirements). She has been working in ICT since 2002 and as a lecturer Software Engineering at Fontys Applied University since 2012. In 2019, she started a postdoc research on the topic of AI engineering: how to build production-ready machine learning systems? Since 2022 she is part of the new Fontys-wide Kenniscentrum Applied AI for Society as senior researcher AI engineering, involved in applied AI projects as “Van sensoren naar zorg”, with teachers and students of Fontys. Petra holds talks on a regular basis and is author of several publications, amongst which the book (in Dutch) “Succes met de requirements”.   

Abstract

Building production-ready AI system entails much more than just training a high-performance machine learning model. A production-ready AI system needs to be trustworthy, i.e. of high quality. But how to determine this in practice? For traditional software, ISO25000 and its predecessors have since long time been used to define and measure software product quality characteristics. This talk introduces a quality model for AI systems, based on ISO25000. This quality model defines 9 characteristics of a trustworthy AI system, that are not represented in the software product quality characteristics of ISO25000. To illustrate our quality model, we apply it to a real-life case study: a deep learning platform for monitoring wildflowers. We show how the quality model can be used as a structured dictionary to define quality requirements for both data, model and software. Ongoing work is to extend the quality model with metrics, tools and best practices to build a quality toolbox for engineering trustworthy AI systems. 

Bio

Hilde Weerts is an Artificial intelligence Engineer at Eindhoven University of Technology, where she works on tools, research, and education on fair and explainable machine learning. Her research focuses on challenges that come along with putting responsible machine learning into practice, through various interdisciplinary lenses. She is also one of the maintainers of Fairlearn, an open source Python library for assessment and mitigation of AI systems. 

Bio

Sophia is a young yet skilled mentor, and she is focussing her work on auditing and developing machine learning solutions. In particular, she is specialized in explainable AI.

Bio

Jo-An Kamp is a lecturer and researcher at Fontys University of Applied Sciences in the Netherlands. She coaches ICT students in the fields of UX, research, (interactive) media, communication, (interaction) design, ethics and innovation. 

She does research on the impact of technology on humans and society. Jo-An is co-creator of the Technology Impact Cycle Toolkit (www.tict.io), a toolkit designed to make people think and make better decisions about (the implementation of) technology and is a member of the Moral Design Strategy research group. 

Bio

Leoni is an Analytics Translator and Product Owner of a team with 6 Data scientists and 2 Big Data Engineers at VodafoneZiggo. She used to be a data scientist herself, back when this was still just called a modeler, at for instance Rabobank and De Nederlandsche Bank. Her current team at VodafoneZiggo uses data on a daily basis to improve customer service and do commercial campaigning. 

Bio

It has always been a passion to start my own company. With a background in AI and fascinated by the brain, software and sports I am extremely proud to be co-founder and CTO of Aristotle Technologies. As CTO it is my job to oversee the technical strategy, both in building the technology as well as creating and managing the team. As a female CTO it is my goal to show women that it is possible to be at the top of a technical company. My aim is to be an approachable, fearless and fair leader and an example for those who need it.

Follow your passion and intuition, do everything at 110% and the rest will come, one step and one day at a time. 

Bio

After studying the bachelor and master Econometrics & Operations Research at Maastricht University, Roos started working as a data scientist at data science consultancy company Pipple in 2018. In the past 5 years, she has worked as a data science consultant for customer in different sectors, amongst others warehousing, logistics, energy, retail, health and government.  

But that is not all. Roos is also a passionate advocate for Women in Data Science. In 2020, she became a Women in Data Science ambassador, and since then, she has been dedicated to helping more women break into this exciting field. She has organized and hosted three prior Women in Data Science conferences, both live and in webinars, which have been a massive success. 

Roos is excited to meet you, and looking forward to host the WiDS Eindhoven conference together with her colleague Sanne on the 27th of March 2023! 

Bio

Sanne is a data scientist at Pipple. During her studies of Econometrics & Operations Research in Maastricht, she wrote her thesis at 510 – An Initiative of the Netherlands Red Cross in collaboration with Pipple on the usage of a Convolutional Neural Network in Automated Damage Assessment. Since then she has been working at Pipple on projects regarding Reinforcement Learning, Image Recognition and in the financial sector. Last year she attended WIDS and loved it. The event was filled with interesting talks, amazing speakers and an inspiring atmosphere. She’s very excited to be one of the hosts this year and is looking forward to March 27th to see you all there!