About me
Jake is a senior research fellow in the Systems Biology for Aging as well as the Biostatistics group.
His research focus includes in multivariate genome-wide association testing, statistical and machine learning towards omics integration to investigate genetic and environmental factors driving frailty, autism and T1D. He contributes to the following projects: FinnGen, GEMMA and DIPP/TEDDY.
After receiving his PhD (Bioinformatics) in 2018 from Tampere University, he worked for 4 years in Statistical Genetics, FIMM, University of Helsinki where he focused on development and application of multivariate genome-wide models and received a 3-year Postdoctoral researcher grant from the Research Council of Finland in 2019. His work has both focused on method implementation for omics data and analysis.
Responsibilities
AI-NLP processing for EFI construction and modeling
Omics integration for GEMMA
Multivariate GWAS
Mission statement
Improve specificity and interpretability of genetic associations and consequential host responses with environmental factors, such as virome exposures driving diseases progression, such as mental health impacting young children as well as T1D, with omics integration.
Constructing eFI for aging using AI guided solutions.
Research topics
ASD, T1D, Frailty
Population genetics
Omics integration
Machine learning and AI