The team

Jelena Grujic

Jelena is a co-founder of the DataBeers Brussels chapter. She works at the Vrije Universiteit Brussel’s Artificial Intelligence Lab. She is a data scientist with a background in physics, experience in game theory, complex networks, machine learning and big data. She has a lot of experience with public speaking, training people to give public talks and organizing scientific events for general public. Learn more.

Leto Peel

Leto is a co-founder of the DataBeers Brussels chapter. He is a postdoctoral researcher at the Université catholique de Louvain and the Université de Namur. His main research interests are in machine learning for complex networks, in particular the use of probabilistic generative models and Bayesian inference. Learn more.

Johan Loeckx

Johan is the Lab Manager at the Vrije Universiteit Brussel’s AI Lab. He’s open minded, empathetic and like to get things done. He’s allergic to borders, creative and T. His passions are music, education, and AI. Learn more.

Eline Vanwalleghem

Eline is a data scientist at Hedera Insights. She loves applying her data wrangling and modeling skills in the field of customer intelligence and marketing optimization. While having a beer, you can talk to her about LEGO, Playmo(bil) and Robo(ts). Learn more.

Marie Hargitt

Marie is a web developer, formerly working in digital communications and strategy consulting. She’s a multicultural mutt and lover of all things design, data and tech. And, an active supporter of initiatives that promote women in tech. Learn more.

Ramanuja Rao

Ramanuja (Ramji) is a consultant in Data Science. He is passionate about applications of AI for natural language processing and participant of the Effective Altruism moment. Learn more.

Charlotte Nachtegael

 Charlotte works at the Université Libre de Bruxelles in Informatics, while completing her PhD in bioinformatics. She’s a data scientist with a strong background in biology. Her research focuses on complex genetic diseases with the help of big data, complex networks and machine learning. Her main area of interest in AI and data science is how it could be applied for personalised medicine and the improvement of healthcare. Learn more.