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Teaching Assistant

Technical University of Denmark (DTU)

• Course: Deep Learning

Independent Data Scientist & Consultant in Public Health Data

Eiriksson Consulting Aps

With ten years' experience with health data from public administration in Denmark, I chose to start as independent data analyst in 2016. In my role as consultant, I have worked with a wide range of projects. My clients come from the public health administration in Denmark.

• Designed and maintained BI/ETL workflows and data warehousing; performed data quality work and wrangled very large datasets.
• Delivered statistical analyses and ML modeling for public health administration stakeholders; produced decision-ready reporting.
• Implemented national/regional health KPIs and contributed to regional health survey publications (Region Zealand) and other reports.
• Toolbox: T-SQL, SAS, Python, VBA

Assistant Lecturer

IT-University of Copenhagen (ITU)

• Digital Management, Governance and Accountability

Administrative officer

Department for Health Data, National Institute for Health Data and Disease Control under the Ministry of Health in Denmark

• Coordinator of international relations and Chairman of the Nordic Medico-Statistical Committee (NOMESCO)
• Providing health statistics to international health organizations (OECD, NOMESCO, and EUROSTAT), public media, and the Danish parliament
• Development of the new National Patients Registry
• SQL/SAS programming
• Data extraction from national health registries for research projects
• Supervision of researchers

Teaching Assistant

Department of Anthropology, University of Copenhagen

• Anthropological Methods
• Philosophy of Science in Anthropology
• Quantitative Methods

Instructor

Department of Mathematical Sciences, University of Copenhagen

• Introduction to Mathematics (mathematical analysis)
• Linear Algebra I
• Mathematical Models in Biology
• Introduction to Microeconomics
• Mathematics and Data Processing for Bioscience

M.Sc in Mathematical Modeling and Computation (GPA: 11.2/12)

Technical University of Denmark

• 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
• Master's thesis: Iterative Variational and Time-consistent Diffusion Models

Visiting Graduate Student

University of St. Andrews, Scotland

• Mathematical Statistics
• Markov Chains and Processes
• Bayesian Inference

M.Sc in Anthropology

University of Copenhagen, Denmark

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

Exchange Student

Universidad de la Habana, Cuba

• 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

B.Sc in Mathematics

University of Copenhagen, Denmark

• Thesis on Universal Algebra

Danish Data Science Academy Travel Grant

Danish Data Science Academy

Travel grant to participate at the Cambridge Ellis Unit Summer School on Probabilistic Machine Learning

Nordic Africa Institute Study Grant

Nordic Africa Institute

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

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

Iterative Variational and Time-consistent Diffusion Models

Department of Applied Mathematics and Computer Science, Technical University of Denmark

Sundhedsprofil 2021 for Region Sjælland og kommuner - 'Hvordan har du det?'

Region Sjælland, Data og udviklingsstøtte

Large regional health survey in Region Zealand, Denmark. The survey was conducted amongst 20.871 participants in 2021 and the report was published in 2022. The survey included questions about health, lifestyle, and well-being.

Sundhedsprofil 2017 for Region Sjælland og kommuner - 'Hvordan har du det?'

Region Sjælland, Produktion, Forskning og Innovation

Large regional health survey in Region Zealand, Denmark. The survey was conducted amongst 19.134 participants in 2017 and the report was published in 2018. The survey included questions about health, lifestyle, and well-being.

Policing the Margins of the State - Community Policing in Kibera, Nairobi

Department of Anthropology, University of Copenhgen