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Simon Eiriksson

Simon Eiriksson


Stefansgade 45, 4.tv., Copenhagen, Denmark, DK, 2200
Danish, English, Spanish

Background


About

About

Data scientist and public health analyst with 10+ years experience working with Danish national health data, now transitioning into machine learning research. Currently pursuing an M.Sc. in Mathematical Modelling and Computation (Machine Learning focus) at the Technical University of Denmark, conducting thesis research on stochastic differential equations for generative modelling.

Work Experience

Work Experience

Skills

Skills

  • Machine Learning

    Deep Learning

    Bayesian Machine Learning

    Generative Modelling

    Probabilistic Machine Learning

    Reinforcement Learning

    Stochastic Differential Equations

    Variational Inference

    Computer Vision

    Bayesian Neural Networks

    Time Series Analysis

    Uncertainty Quantification

  • Programming tools and languages

    Python

    Pytorch

    Scikit-learn

    Numpy

    Statistical Analysis System (SAS)

    T-SQL

  • Analytical Skills

    Report writing

    Teaching

    Policy development

    Statistical Analysis

    Key Performance Indicators in Health care

    Data Quality Research

    Statistical Analysis of Health Data

  • Data juggling

    Advanced data wrangling in SAS and T-SQL

    ETL

    Database models for data warehousing

  • Health Data

    Danish National Civil Registration System

    Danish National Patient Registry (LPR)

    All other Danish National Health Registries

    Case-mix system

    Survey Analysis

Education

Education

  • , M.Sc in Mathematical Modeling and Computation, Technical University of Denmark

    Sep, 2023 - Oct, 2025

    Advanced Machine Learning

    Deep Learning

    Dynamic Optimization

    Bayesian Machine Learning

    Model-Based Machine Learning

    Advanced Deep Learning in Computer Vision

    Machine Learning for Signal Processing

    Machine Learning Operations

    Intro to Reinforcement Learning and Control

    Scientific Computing for ODEs and PDEs

    Functional Analysis

    Digital learning technology and entrepreneurship

    Innovation in Engineering

    Programming in C++

    Multivariate Statistics

    Project: Riemannian Laplace Approximation via Subspaces and Bayesian Quadrature

    Project: Improving uncertainty quantification via Bayesian neural networks

  • , Visiting Graduate Student, University of St. Andrews, Scotland

    Sep, 2019 - Dec, 2019

    Mathematical Statistics

    Markov Chains and Processes

    Bayesian Inference

  • , M.Sc in Anthropology, University of Copenhagen, Denmark

    Sep, 2009 - Jun, 2013

    Thesis: Policing the Margins of the State - Community policing in Kibera, Nairobi

  • , Exchange Student, Universidad de la Habana, Cuba

    Sep, 2007 - Jan, 2008

    Microeconomía

    Planificación Global de la Economiía Nacional

    Práctica Integral de Lengua Española

    Teoría e Historia de Filosofía Marxista-Leninista

  • , B.Sc in Anthropology, University of Copenhagen, Denmark

    Sep, 2005 - Jun, 2008

  • , B.Sc in Mathematics, University of Copenhagen, Denmark

    Sep, 2001 - Jun, 2005

    Thesis on Universal Algebra

Certificates

Certificates

Awards

Awards

  • Nordic Africa Institute Study Grant , Nordic Africa Institute

    Awarded on: Jan 15, 2012

    A 1-month stay at the Nordic Africa Institute (NAI) in order to facilitate use of the Institute’s library collections on contemporary Africa

  • Travel Scholarship , Institute for Anthropology, University of Copenhagen

    Awarded on: Jul 01, 2007

    Scholarship for my studies at the Universidad de la Habana, Cuba

Publications

Publications