De-Mystifying Artificial Intelligence

Girls in Tech Switzerland est une organisation bénévole dédiée à l'autonomisation et la mise en contact de femmes dans le domaine de la technologie. Nos événements portent sur des thèmes de carrière, de technologie et d'entreprenariat.

Girls in Tech Switzerland

Join us for an exciting event about Artificial Intelligence - all you ever wanted to know and never dared to ask!
Women from different fields of AI (University, Start-up, Healthcare) will attend our panel and give you a better understanding of AI and its possibilities. More panellists will be announced over the next weeks. 
 
Agenda 18.30 Registration 19.00 Panel discussion about AI (Challenges, opportunities, career advice) 19.45 Q &amp; A with the panellists
The event will be followed by a Networking Apero where you will get the chance to talk to panel participants and speakers in more details 
 
Panellists 
Sophie Hundertmark, Founder of h-square Sophie holds a masters degree in Business Administration and Online Business. She has worked in various industries and countries and has focused more and more on online business and digital strategies in recent years. As founder and partner of h-square, she develops strategies for the use of chatbots and supports her clients in the overall marketing mix. In February 2017, Sophie founded the meet-up group "AI in Marketing". The feedback was so great that it is now developing into a conference.
 
Lisa Falco, Director of Data Science at Ava Lisa leads the data science team and algorithm development at Ava. She has an MSc in Engineering Physics from Chalmers, Sweden and PhD in Biomedical Imaging from EPFL, Switzerland. Before joining Ava she worked as a data scientist at Solianis Monitoring developing algorithms for non-invasive glucose monitoring and as a product manager for micro-CT scanners at Scanco Medical. Lisa loves working in the interface between technology and medicine. She sees data science and machine learning as amazing tools to drive research forward and to develop products and methods that have a real impact on people’s lives.    
 
Maria Veiga, PhD student  Maria received her MSc in Computational Science and is pursuing a PhD in Applied Mathematics and Computational Science at the University of Zurich. Part of her research includes applications of Machine Learning in different fields such as computational fluid dynamics, optimisation and natural language processing. Previously, she worked as a Machine Learning research assistant in R&D Critical Technologies at Alstom (General Electric).
 
Diane Freymond, COO - Chief Operating Officer at Legartis Tech has fascinated Diane very early on, this is why she tackled digital transformation as her first career step and has lived all the opportunities opened by the fourth industrial revolution. She has helped entrepreneurs, small companies in their digital transformation, as well as large enterprises. She currently acts as a COO for Legartis, a LegalTech AI startup in Zürich. She believes in the combination of human and machine as the future of work.
 
Rebekka Burkholz, Postdoctoral Researcher at ETH Rebekka is a <A HREF="http://www.google.com/url?q=http%3A%2F%2Fwww.ise.inf.ethz.ch%2Fpeople.html&sa=D&sntz=1&usg=AFQjCNFpuHTvHVCoYWPVj5MaLBCQU9RT9g" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">postdoctoral researcher</A> at the <A HREF="http://www.google.com/url?q=http%3A%2F%2Fwww.ml.inf.ethz.ch%2F&sa=D&sntz=1&usg=AFQjCNHwPXvfl-VIRcluglVULQRJNGrwLQ" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Institute for Machine Learning at ETH Zurich</A> in Switzerland. She has the pleasure to lead the cardiology project of her group, where they work closely together with cardiologists at UniSpital Zurich. She loves the exchange. While she brings in her technical knowledge, she can learn about other disciplines like medicine and hopefully improve the lives of people in the long run. She always looked for a good mix of theoretical challenges and a real-world impact when she studied Mathematics and Physics in Darmstadt (Germany) or Lund (Sweden) and pursued a PhD about complex networks and systemic risk at the ETH Risk Center.
 
Disclaimer:
Please be aware that we will take pictures during the event, which will be published on our Girls in Tech website and social media channels and can be reused for marketing purposes at a later stage.
<SPAN STYLE="font-family: 'Calibri',sans-serif; font-size: 9pt; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: DE-CH; mso-bidi-language: AR-SA;">Except for pictures as noted above, Girls in Tech Switzerland does not store nor share your data or use it for marketing purposes.<SPAN STYLE="color: black; font-family: 'Calibri',sans-serif; font-size: 9pt; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: DE-CH; mso-bidi-language: AR-SA;">By registering for the event, you consent that, for the purpose of arranging and holding the event, and for any communication with you in connection with the event, your name and registration data and any other relevant data associated with the event (“Personal Data”) may be shared with employees of Credit Suisse (Switzerland) Ltd. and Credit Suisse AG (together “Credit Suisse”) <SPAN STYLE="color: black; font-family: 'Calibri',sans-serif; font-size: 9pt; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: DE-CH; mso-bidi-language: AR-SA;">who are involved in the organization and staging of the event collected by Girls in Tech and with third-party service providers in Switzerland engaged by Credit Suisse. You also agree that photographs taken or recordings made during the event may be shared with other attendees and used internally within Credit Suisse Group companies. Your Personal Data and attendance data will be retained <SPAN STYLE="color: black; font-family: 'Calibri',sans-serif; font-size: 9pt; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: DE-CH; mso-bidi-language: AR-SA;">subsequent to the event by Girls in Tech and Credit Suisse in accordance with Girls in Tech and Credit Suisse policies, and it may be shared within Credit Suisse for efficiency, reporting and analytics purposes in regards to this event.<SPAN STYLE="color: black; font-family: 'Calibri',sans-serif; font-size: 9pt; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: DE-CH; mso-bidi-language: AR-SA;">If you register by email, you should be aware that your data will be transmitted over the internet as an open network and could therefore be intercepted and used by others without your consent.

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De-Mystifying Artificial Intelligence

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