Damien Kaukonen
Erikoistutkija, PhD
InFLAMES-lippulaiva
Turun yliopisto
Damienilla on tausta matematiikan ja biologian aloilta, erityisesti onkologiaan, immunologiaan, molekylaariseen biologiaan ja mikrobiekologiaan liittyen. Hänen tutkimuksellinen painopisteensä on ollut rintasyöpä useista eri näkökulmista tutkittuna. Hänellä on tällä hetkellä 50-50 -työsopimus InFLAMES-lippulaivan ja Karolinska Instituutin Medical Epidemiology and Biostatistics-osastolla.
Hänellä on runsaasti kokemusta seuraavista aiheista;
- Single-cell, nuclear capture, and bulk RNA-seq
- CUT&Tag, CUT&RUN, and ChIP-seq
- Genome and exome sequencing (GWAS and SNP studies)
- Epidemiological modelling and analysis
- Advanced biostatistics methods, such as likelihood ratios, multivariate modeling, flexible parametric modeling, relative risk ratios.
- Machine learning (pattern recognition, support vector machines, random forest models).
- R and unix programming
Hänellä on rajatusti kokemusta seuraavista aiheista;
- Methylation analysis
- ATAC-seq
- Proteomics
- Machine learning for image processing
- Other biostatistical modelling, such as Bayesian statistics and Mixed Effect models
- Python, matlab, and octave programming.
Hänellä on runsaasti kokemusta seuraavista aiheista;
- Single-cell, nuclear capture, and bulk RNA-seq
- CUT&Tag, CUT&RUN, and ChIP-seq
- Genome and exome sequencing (GWAS and SNP studies)
- Epidemiological modelling and analysis
- Advanced biostatistics methods, such as likelihood ratios, multivariate modeling, flexible parametric modeling, relative risk ratios.
- Machine learning (pattern recognition, support vector machines, random forest models).
- R and unix programming
Hänellä on rajatusti kokemusta seuraavista aiheista;
- Methylation analysis
- ATAC-seq
- Proteomics
- Machine learning for image processing
- Other biostatistical modelling, such as Bayesian statistics and Mixed Effect models
- Python, matlab, and octave programming.
