Women in Tech – Ada Lovelace Day 2019

3Shape and Department of Computer Science DIKU – University of Copenhagen join forces to celebrate the Ada Lovelace Day 2019 in Denmark! You are kindly invited to join us for a cheerful afternoon with talks, networking and refreshments, all focusing on women having chosen a technological or scientific path of career and who want to share their story with a greater community – to the benefit of the society and in honor of Ada Lovelace.

We bring together engineers, entrepreneurs, leaders, students and other enthusiasts with different backgrounds to celebrate the achievements of women in STEM and inspire diversity in tech. We will showcase game-changing work and research of women in tech that innovates and disrupts.

Program

14:30 Doors open
15:00 Welcome by 3Shape and DIKU and a brief introduction to Ada Lovelace
15:15 Innovating for superior patint care: 3Shape's journey by Tais Clausen, Co-CEO and Co-Founder, 3Shape
15:45 Talk: Innovation and Transformation in an Engineering-based Organisation by Maria Hoffmann, Project Leader in Innovation at Ørsted & Benna Hedegaard, Lead Innovation Manager at Ørsted
16:15 Talk: Simulating meaning: an AI-complete problem by Professor and Dr.Scient in CS Christina Lioma, University of Copenhagen, Department of Computer Science
16:45 Snacks, drinks, mingling and hands-on experience with 3Shape software and 3D scanners as well as a DIKU corner
17:15 Talk: Let’s face it: challenges and opportunities in 3D face scanning by Gabija Kirsanske, Optics developer at 3Shape
17:30 Q&A facilitated by Carita Hedegaard-Knudsen, Systems Engineer at 3Shape
18.15 Drinks, networking and hands-on experience with 3Shape software and 3D scanners

Speakers and talks

Bio

Maria Hoffmann is Project Leader in Innovation at Ørsted. Maria has a Ph.D. in Fundamental and Applied Physics from Cern, where a broad range of capabilities has given her a strong platform. Furthermore, drawing on her STEM background, she has achieved experience and opportunities in the corporate world through her work as a consultant at Boston Consulting Group (BCG) and now at Ørsted.

Benna Hedegaard is Lead Innovation Manager at Ørsted through which she has established an in-house Innovation Lab, from design to execution. This, along with her previous position as Innovation and Business Developer at Novozymes, and an MSc in Management and Innovation, she holds great knowledge on working with innovation in a deeply engineering-based organization.

About the talk

Innovation and Transformation in an Engineering-based Organisation
The challenges and opportunities for driving an innovation agenda. Two areas will be touched upon: 1) The experience Maria has achieved in the corporate world drawing on her STEM background. 2.) How Maria and Benna work with innovation and transformation in an engineering-based organization where new business opportunities may come from the crossroads between engineering and new business models.

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Bio

Christina Lioma, Dr. Scient. and Professor in CS at the Univ. of Copenhagen is despite her young age of 42 a highly distinguished researcher with honors from Glasgow and Manchester Univ. Since 2018, she has headed the ML section at DIKU covering Information Retrieval, NLP, data mining, applied ML, and AI.

About the talk

Simulating meaning: an AI-complete problem
Building machines that can understand text like humans is an AI-complete problem. A great deal of research has already gone into this, with astounding results, allowing everyday people to discuss with their telephones, or have their reading materials analyzed and classified by computers.

A prerequisite for processing text semantics, common to the above examples, is having some computational representation of text as an abstract object. Operations on this representation practically correspond to making semantic inferences, and by extension simulating understanding text. The complexity and granularity of semantic processing that can be realized is constrained by the mathematical and computational robustness, expressiveness, and rigor of the tools used.

This talk will cover a series of such tools, diverse in their mathematical formulation, but common in their application to model semantic inferences when machines process text.

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Bio

Gabija Kirsanske, Optics developer at 3Shape comes from a background of physics with a Ph.D. in quantum physics from the University of Copenhagen. After her post-doctoral research, she joined 3Shape in 2018 to work as an optics developer for a project building a CBCT scanner.

About the talk

Let’s face it: challenges and opportunities in 3D face scanning
Recently, face-scan applications have spread from specialized to consumer-level products. Many of them powered by machine learning do face recognition for security or simply for unlocking a mobile device. At 3Shape we developed a 3D face scanner with great potential in the medical industry. What challenges are posed and what opportunities can we seize with such technology in our products?