People

Principal Investigator
luigi.acerbi [at] helsinki.fi | 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.

Postdoctoral/Doctoral Researcher
name.surname [at] helsinki.fi
Researcher in probabilistic machine learning

We have openings for co-supervised postdoc and doctoral student positions as part of a Finnish Center for Artificial Intelligence (FCAI) - ICT Helsinki joint postdoc call. See this page for more information.

Postdoctoral Researcher
gregoire.clarte [at] helsinki.fi | Personal page
Finnish Center for Artificial Intelligence FCAI

Grégoire is a FCAI postdoc based in our lab and co-supervised with Aki Vehtari (Aalto University). Grégoire joined our lab in 2021, after obtaining his PhD from University Paris Dauphine, under the supervision of Christian P. Robert and Robin J. Ryder. He is interested in applied Bayesian statistics, in particular to phylolinguistics, and numerical methods for likelihood free models and problematic posteriors. These two last points led him to active learning methods and surrogate model based methods. When not doing maths, he enjoys a nice book, an opera or some board games.

Doctoral Student
chengkun.li [at] helsinki.fi | Personal page
Researcher in Sample-Efficient Probabilistic Machine Learning

Chengkun joined the lab in August 2021 as a doctoral student. Previously, he completed the Bachelor program at Shanghai Jiao Tong University (SJTU) and a double Master program at SJTU and Ecole Centrale Paris. After working on computer vision and robotics problems, he now focuses on the foundations of machine learning and novel probabilistic learning methods, with a special interest in sample efficiency. In his spare time, Chengkun enjoys reading, playing the guitar and taking photographs.

Research Assistant
robert.huggins [at] helsinki.fi
Machine Learning Engineer

Bobby is an M.Sc. student in Mathematics and Statistics, and joined the lab in 2022 to continue work on porting the Variational Bayesian Monte Carlo toolbox to Python. He is animated by research that lies at the intersection of applied mathematics, statistics, and computational science, with a particular interest in statistical approaches to inverse problems. Prior to studying at HY, Bobby completed his B.A. in Mathematics at the University of Chicago, and spent several years working backstage in the live theatre industry before returning to math. In his spare time, Bobby is most likely to be found exploring Dungeons and fighting Dragons around a table (real or virtual) of friends.

Master's Thesis Student
aki.rehn [at] helsinki.fi
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.

Master's Thesis Student
dalcorso [at] ad.helsinki.fi
Researcher in probabilistic machine learning

Jordy is an M.Sc. student in Data Science at the University of Verona (Università di Verona) , Italy. He joined the lab in 2022 to work on his master’s thesis related to hierarchical extensions of Variational Bayesian Monte Carlo. Previously, he completed an Applied Mathematics B.Sc. in Verona in 2020 with a thesis on continuous-time Markov chains. In his free time, Jordy likes mountain hiking as well as playing chess and action and strategy videogames.

Master's Thesis Student
gurjeet.singh [at] studenti.unipd.it
Researcher in Bayesian optimization

Gurjeet is an M.Sc. student in Data Science at the University of Padua (Italy). He joined the lab in 2022 to work on his Master's thesis related to the Bayesian Adaptive Direct Search (BADS) optimization algorithm, and he is working on porting it to Python. Before starting his Master's degree, Gurjeet completed his B.Sc in Computer Science at the University of Verona. During his bachelor, he spent a couple of years working at CERN (European Organization for Nuclear Research) as a Software Developer. He is fascinated by optimization problems and federated learning that use sample efficient algorithms. In his free time, he likes to run, play futsal and read books.

Student collaborators

  • Nisheet Patel (Department of Neuroscience, University of Geneva)
  • Xiang Li (Department of Psychology, NYU)
  • Daisy Lin (Center for Data Science, NYU)
  • Trung Trinh (Department of Computer Science, Aalto University)

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)
  • Bas van Opheusden (Department of Psychology, Princeton University)
  • Aspen H. Yoo (Department of Psychology, UC Berkeley)
  • Berk Gerçek (Department of Neuroscience, University of Geneva)
  • Kalpana Dokka (formerly at Baylor College of Medicine)
  • Elyse H. Norton (formerly at Department of Psychology, NYU)
  • Yanli Zhou (Center for Data Science, NYU)
  • Jaakko Koli (2021-22, MSc thesis; Master's student in Data Science at the University of Helsinki).
  • Mikko Aarnos (2021, research assistant; Master's student in Mathematics and Statistics at the University of Helsinki).
  • Marlon Tobaben (2021, research assistant; Master's student in Data Science at the University of Helsinki).