‘Ask Me Anything’ Webinar Series

Are you curious to hear what a data science career in Denmark looks like? Join DDSA’s Young Academy Panel for the monthly ‘Ask Me Anything’ webinar series! At each webinar, an invited speaker will engage in an honest conversation about their career and answer all your related questions. 

You will meet data science professionals from different fields who will reveal the manifold faces of data science and share their personal experience with no filter.

Get your first-hand accounts about data science in the wild!

Wednesday, November 15, 2023 @ 17:15 – 18:00

Emilie Dalsgaard

Amsterdam Data Collective

Emilie has a background in engineering from Technical University of Denmark and works as Principal Data Scientist at ADC Denmark, where she has specialized in building end-to-end data science solutions. Emilie’s job ranges from coding to architecture to project management, but it all revolves around using data to solve real life problems.

Wednesday, December 13, 2023 @ 16:15 – 17:00

Benjamin Biering


Benjamin is a seasoned data scientist specializing in AI and machine learning, with nearly a decade of hands-on experience. Holding a PhD in computer science, Benjamin honed his skills at the e-commerce site eBay, innovating data products to elevate the user experience through data products. He later transitioned to the startup ecosystem, where he has been instrumental in assembling high-performing data science teams and spearheading personalisation initiatives through technologies such as recommender systems, natural language processing, and reinforcement learning.

Monday, January 15, 2023 @ 10:15 – 11:00

Laura Alessandretti

Technical University of Denmark

Laura is Assistant Professor in Modelling of Human Dynamics at the Technical University of Denmark. She works in the area of Computational Social Science, researching aspects of human behavior combining the analysis of large-scale passively collected datasets with mathematical and computational models. Laura’s research has largely focused on the understanding of human mobility, smartphone application usage, and online behavior in digital markets. Previously, Laura was a Postdoctoral researcher at the Copenhagen Centre for Social Data Science and at DTU Compute. Laura holds a PhD in Mathematics from City, University of London, and a Master’s in Physics of Complex Systems from École Normale Supérieure de Lyon.