A passionate and results-oriented Machine Learning & Data Science professional with a solid foundation in Molecular Biomedicine. I excel in bioinformatics, research, and software development, and am proficient in Python, R, and C++ programming languages. My skills include analyzing complex data and implementing cutting-edge machine learning algorithms for a wide range of applications in the life sciences field.


2020–2023 BSc Machine Learning & Data Science, University of Copenhagen

GPA: 11.3

  • 💡 Completed masters level courses on machine learning theory, advanced deep learning theory, and generative graphical models, where I gained a deep understanding of the mathematical foundations of machine learning, advanced architectures for deep learning, and the ability to model complex distributions and data generating processes using graphical models.
  • 🎓 Attended the Gaussian Process and Uncertainty Quantification Summer School at The University of Sheffield, UK (Sept 2022) where I gained hands-on experience with Gaussian Processes and their applications in machine learning and optimization.

2018–2020 MSc Molecular Biomedicine, University of Copenhagen

GPA: 10.8

  • 🔬 Conducted a head-to-head study comparing two different conjugation systems and virus-backbones for antigen display, investigating the effect on the antibody response in mice.
  • 📝 Published the findings in the MDPI journal Vaccines (2021)

2015–2018 BSc Molecular Biomedicine, University of Copenhagen

GPA: 9.0

Work Experience

May 2021–present: Bioinformatics Student Assistant, LEO Pharma A/S, Ballerup

  • 🖥️ Developed a backend utilizing Python and Django for handling high-dimensional data, providing API access for integration with multiple front-end interfaces.
  • 🤝 Worked in a shared codebase (git) for efficient collaboration.
  • 🔍 Designed and implemented data analysis pipelines for gene expression data.

Apr–Jul 2020: Research Assistant, Center for Medical Parasitology, University of Copenhagen

  • 🦠 Assisted in the development of next-generation vaccine against SARS-CoV-2 by creating spike-protein variants in insect cells.
  • 📖 Contributed to the publication “Capsid-like particles decorated with the SARS-CoV-2 receptor-binding domain elicit strong virus neutralization activity” in the journal Nature Communications (2021).


  • Programming: Python, R, C++
  • Data Science: Data visualization, data wrangling, data analysis
  • Machine Learning: Supervised learning, deep learning, generative models
  • Biology: Molecular biology, biochemistry, immunology
  • Languages: Danish (Native), English (Fluent), Japanese (Business level, JLPT N2)


2019–present: Network Administrator, Industrikollegiet, Copenhagen

  • 🌐 Self-taught networking skills and administrated the network infrastructure for the dormitory, troubleshoot and resolved network issues, trained and assisted other residents.

2022–2023: Treasurer, Industrikollegiet, Copenhagen

  • 💰 Managed budget and finances for the resident council, assisted in the planning and facilitation of events and activities for the dormitory community.


2022-2023: A Fully Convolutional Neural Network Model for Masked Amino Acid Position Identification

  • 🧪 Using a 3D U-Net architecture to learn the amino acid propensities from voxel representations of protein structures.
  • 🔍 Investigating the effects of masking different portions of the protein structure on the accuracy of the model.

2022: Generative Latent Variable Model for Protein Sequences

  • 🧬 Trained a variational autoencoder using multiple sequence alignment as input.
  • 📈 Compared the performance of the model to a similar model using importance weighted autoencoder.

2021: Developed a Stand-Mixer Tracker System

  • 📍 Utilized machine learning and web technologies to predict and display the location of a shared stand-mixer in real-time.
  • 🌐 Implemented a random forest classifier and a dashboard using Plotly Dash.
  • 🛠️ Used an ESP8266 microcontroller to gather location data, and PostgreSQL, Flask, and Docker for data storage and deployment.


  • 2018–2023: Peter og Emma Thomsens Legat
    • Monthly stipend awarded based on outstanding academic performance.
  • 2018, 2019: Novo Nordisk International Talent Program
    • Summer schools at National University of Singapore and University of Tokyo.
  • 2017: Scandinavia-Japan Sasakawa Foundation, Rudolph Als Fondet, Ingeniør Ad. Cléments Legat
    • University exchange at Osaka University.


  1. Fougeroux C, Goksøyr L, […], Fredsgaard L, […]: Capsid-like particles decorated with the SARS-CoV-2 receptor-binding domain elicit strong virus neutralization activity. Nature Communications. 2021 link
  2. Fredsgaard L, […]: Head-to-Head Comparison of Modular Vaccines Developed Using Different Capsid Virus-Like Particle Backbones and Antigen Conjugation System. MDPI Vaccines. 2021 link