I have been extensively teaching during at least 10 years of my career, and believe I established my own pedagogical approach based on competence and enthusiasm.
Here are some examples of teaching material from my recently taught courses:
- Omics Integration and Systems Biology NBIS SciLifeLab course material
- RaukR summer school: mathematical statistics and machine learning in R
- Single Cell RNAseq course 2024: dimensionality reduction lecture
- Population genomics in practice 2024: population structure lecture
- NBIS workshop in neural nets and deep learning: Bayesian deep learning
- Ancient metagenomics summer school: authnetication and decontamination
Please see below the list of my recorded lectures and presentations from conferences:
- Craft AI conference 2024: Artificial Intelligence (AI) in Biomedical Data
- Microbiome Virtual International Forum (MVIF25) 2024: aMeta method
- SPAAMtisch meeting 2023: ancient metagenomics
- Computer Vision Forum Lund 2023: object detection, instance segmentation
- Bayes Lund conference 2023: Bayesian methods for Omics integration
- Hub AI Lund 2022: Life Sciences meet AI: Deep Learning for Biology
- Omics integration tutorial within ISMB / ECCB Conference 2021
- Keynote lecture at Omics Logic Symposium 2022
- R ladies data integration webinar 2021, part 1: Supervised integration
- R ladies data integration webinar 2021, part 2: Unsupervised integration
- Applications of Machine Learning for Life Sciences conference, 2021
- Webinar for RSG Turkey bioinformatics society, 2019
- Seminar at department of Automated Control of Lund University 2022
- COMPUTE winter meeting 2019, “Biomedical big data and Deep Learning”
- UCLA STATS205 course material from Nikolay Oskolkov blog post (from 24:12)
