Principal Investigator
luigi.acerbi [at] | Google Scholar | Twitter | Personal page
Assistant Professor, University of Helsinki, Finland
Department of Computer Science | Finnish Center for Artificial Intelligence (FCAI)

Luigi Acerbi leads the Machine and Human Intelligence group at the University of Helsinki. Before that, he was a postdoctoral researcher in computational neuroscience and machine learning at New York University (NY, USA) with Wei Ji Ma and at the University of Geneva (Switzerland) with Alexandre Pouget. He obtained his PhD from the University of Edinburgh (UK) as part of the Doctoral Training Center in Neuroinformatics and Computational Neuroscience, working with Sethu Vijayakumar and Daniel Wolpert. He spent several months of his PhD at the Computational and Biological Learning Lab in Cambridge (UK). Before that, he studied theoretical physics and computer science at the University of Milan-Bicocca (Italy). He is an affiliate member of the International Brain Laboratory, a member of ELLIS (European Laboratory for Learning and Intelligent Systems), and an off-site visiting scholar at New York University. He enjoys boardgames and speculative fiction.

Research Assistant
marlon.tobaben [at]
Machine Learning Engineer

Marlon is an M.Sc. student in Data Science and joined the lab in 2021 to work on porting the Variational Bayesian Monte Carlo toolbox to Python. Previously, he completed a work-integrated B.Sc. program in Computer Science and Business Management at the NORDAKADEMIE (Germany) while working at one of Europe’s largest E-Commerce companies. He spent several months studying Business at the University of Victoria (BC, Canada). In his free time, Marlon hikes, cycles, explores countries and attends music festivals.

Master's Thesis Student
aki.rehn [at]
Researcher in probabilistic machine learning
Aki is an M.Sc. student in Data Science and joined the lab in 2021 to work on his Master's thesis combining deep learning with Bayesian nonparametrics. After working in the IT industry for a long time, in 2017 Aki joined the University of Helsinki to get his B.Sc. in Computer Science, minoring in Mathematics. He is interested in many areas of computer science, from operating systems to networking and cryptography, and more recently in machine learning and neural networks. When Aki is not working with computers, he can often be found at a local disc golf course, near a billiards table, or just enjoying a beer with friends.

PhD Student
name.surname [at]
Researcher in sample-efficient probabilistic machine learning

We are hiring a PhD student in sample-efficient probabilistic machine learning — this could be you!
Please find more information here.

Postdoctoral Researcher
name.surname [at]
Researcher in probabilistic machine learning

We have openings for co-supervised postdoc positions as part of a Finnish Center for Artificial Intelligence (FCAI) - ICT Helsinki joint postdoc call.

Research Assistant
name.surname [at]
Machine Learning Engineer

We are hiring a second research assistant to help coding our machine learning software in Python — this could be you!

Student collaborators

  • Nisheet Patel (Department of Neuroscience, University of Geneva)
  • Berk Gerçek (Department of Neuroscience, University of Geneva)
  • Xiang Li (Department of Psychology, NYU)
  • Daisy Lin (Center for Data Science, NYU)

Past collaborators

  • Michael S. Landy (Department of Psychology, NYU)
  • Dora E. Angelaki (Center for Neural Science, NYU; formerly at Baylor College of Medicine)
  • Daniel M. Wolpert (Zuckerman Institute, Columbia University)
  • Sethu Vijayakumar (School of Informatics, University of Edinburgh)
  • Kalpana Dokka (formerly at Baylor College of Medicine)
  • Elyse H. Norton (formerly at Department of Psychology, NYU)
  • Yanli Zhou (Center for Data Science, NYU)