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Women in Tech: Break Stereotypes, Accelerate Innovation
Women in Tech: Break Stereotypes, Accelerate Innovation
When you think about working in “tech”, what do you imagine? Quite possibly computers, coding, robots, artificial intelligence … and men?
With this series we aim to challenge these stereotypes by demonstrating the broad range of careers and skills that fall under the category of “tech”, as well as the diverse range of people who work within tech, especially women.
Join us for a conversation with 3 highly skilled and experienced women, who have carved out their space working in tech. We will hear about the journey they took to find themselves in their current role, the barriers they overcame, and what opportunities they see opening up within the industry.
This event will open up the conversation about what it takes to be a woman in tech, supportive networks and tools and professional development and employment opportunities.
We hope you will join us!
This event is FREE to attend, please RSVP below.
Speakers
Aiko Yamashita
Aiko works as a Senior Data Scientist at the Center of Excellence in Advanced Analytics, at DNB. She has a background in Informatics with a PhD in Experimental Software Engineering, and +10 years of experience in Data Analytics for logistics, retail and the finance industries. In addition to being a Data Scientist at DNB, Aiko is an Adjunct Professor at OsloMet – Oslo Metropolitan University, where she has taught courses in Data Analytics and has supervised students. Aiko is passionate about how innovation and technology can be better aligned to tackle current societal and environmental challenges, and how to develop technology in an ethical, humane, and just way.
Emilie Udnaes

Marialena Demetriou

Her daily work includes juggling several hats as a programmer, a mentor and a communicator. With a variety of colleagues and partners that span the globe, Marialena is passionate about effective communication and respect. She is a strong believer in that everyone has something new to teach you.
