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Basics

Name Aleksanteri Sladek
Label Doctoral Researcher
Email firstname.lastname@aalto.fi
Phone +358449821425
Url www.aleatoric.io

Work

  • 2024.08 - 2027.08

    Espoo, Finland

    Doctoral Researcher
    Aalto University, Department of Computer Science, AaltoML Research Group
    Topic: Advancing Probabilistic Reasoning in Neural Networks for Improved Human-AI Collaboration.
  • 2023.08 - 2024.08

    Espoo, Finland

    Non-military Service Worker
    Aalto University, Department of Computer Science, AaltoML Research Group
  • 2023.01 - 2023.07

    Espoo, Finland

    Master's Thesis Student
    Aalto University, Department of Computer Science, AaltoML Research Group
    Thesis: Positive Semi-Definite Probabilistic Circuits.
  • 2022.06 - 2022.09

    Espoo, Finland

    Research Summer Intern
    Aalto University, Department of Computer Science, Aalto PML Research Group
    Project: Speeding up AI-Assisted UAV Design via Deep Learning
  • 2020.07 - 2020.09

    Philadelphia, PA, USA

    Research Assistant
    Drexel University, College of Computing & Informatics, GAIMS Lab
    Project: AI-Assisted Search and Rescue
  • 2019.04 - 2019.09

    Philadelphia, PA, USA

    Research Assistant
    The Academy of Natural Sciences of Drexel University
    Project: Exploring machine learning applications for natural history collections data
  • 2019.04 - 2019.09

    Philadelphia, PA, USA

    Research Assistant
    Drexel University, College of Computing & Informatics, GAIMS Lab
    Project: Deep learning assisted ADHD diagnosis from driving simulator data

Education

  • 2021.08 - 2024.07

    Espoo, Finland

    MSc
    Aalto University
    Machine Learning, Data Science and Artificial Intelligence
  • 2017.08 - 2020.05

    Philadelphia, PA, USA

    BSc
    Drexel University
    Computer Science
  • 2015.08 - 2017.05

    Media, PA, USA

    ASc
    Delaware County Community College
    Computer Science

Languages

Finnish
Native speaker
English
Native speaker

Interests

Machine Learning
Probabilistic Machine Learning
Bayesian Deep Learning
Probabilistic Circuits
Variational Inference
Uncertainty Quantification
Human-AI Collaboration
Deep Learning
Information Theory
Information Geometry