CV
A short academic and professional CV.
Contact Information
| Name | Tinni Freyr |
| Professional Title | BSc student in Data Science & Machine Learning |
| hey@tinnifreyr.com | |
| Location | Aalborg, Denmark |
Education
BSc in Data Science and Machine Learning — Aalborg University
Sep 2024 – present · Aalborg, Denmark
Experience
Research Intern — Aalborg University · DarkScience (DEIS × Center for Microbial Communities)
Applying machine learning to metagenomic binning. Building MegoBin, a modular framework for combining and benchmarking binning pipelines, in collaboration with Prof. Thomas Dyhre Nielsen and Asst. Prof. Abdulkadir Çelikkanat.
Advisory Board Member — Ad Fontes Society (alternative healthcare, Denmark)
Advising on marketing and sales strategy, with a roadmap toward data integration and operations.
Founder & Consultant — Independent consulting
Helped SaaS companies with go-to-market strategy and experiment-driven growth optimization.
Skills
- Machine Learning — deep generative models, representation learning, graph neural networks, Bayesian nonparametrics
- Programming — Python, PyTorch, Hydra, Git
- Computational Biology — metagenomic binning, MAGs, microbial communities
Interests
- Deep generative models for science — metagenomics, drug & molecule design, protein folding, materials
- World models & automating research — JEPA, AI for the scientific process
- Mathematics & AI — generative AI for formal mathematics, optimal transport, graph learning