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Table of contents

Contact Information

Name Martin Sedlacek
Email martin dot martin dot sedlacek at gmail dot com
Url https://martin-sedlacek.com/
Other EU / Slovakia (citizen), UK (settled status)

Education

  • 09/2023 - 06/2025
    MSc. Artificial Intelligence
    University of Amsterdam
    • Foundations in Machine Learning and Deep Learning theory.
    • Computer Vision, Geometric Deep Learning, Generative Models, basics of NLP and Information Retrieval.
  • 09/2022 - 05/2023
    GDip. Mathematics
    Birkbeck College, University of London
    • Evening studies while working full-time, completed full 60ECs in one year.
    • Multivariable Calculus, Linear Algebra, Group Theory, Real Analysis, Statistics, Probability, and Optimization.
  • 09/2018 - 05/2022
    BSc. Software Engineering
    Queen Mary University of London
    • 4-year degree apprenticeship scheme fully funded by Goldman Sachs.
    • Computer Science fundamentals (e.g. Operating Systems, Networks, Algorithms, Logic, etc.).
    • Data-oriented topics (e.g. Database Systems, Big Data Processing, and Neural Nets).

Research Experience

  • 07/2023 - Present
    Researcher
    ELLIS Unit Prague (CIIRC CTU)
    IMPACT - Intelligent Machine Perception
    • ML for Robotic Manipulation.
    • Details TBA
  • 09/2023 - Present
    Graduate Student
    University of Amsterdam
    Various
    • Details TBA - see publications.
  • 09/2021 - 05/2022
    Undergraduate Student
    Queen Mary University of London
    Bachelors Thesis
    • Benchmarking SOTA models for unsupervised time-series anomaly detection against density-based and statistical baselines on a hand-crafted dataset of real-world financial data.

Professional Experience

Awards

Languages

English
Fluent
Slovak
Native
Czech
Native
German
Basics
French
Basics