About

Experience

I am a skilled bioinformatician with five years of combined wet lab and dry lab expertise both in academic and industry settings. I hold dual bachelor’s degrees in genetics and bioinformatics, and I am currently advancing my knowledge at the prestigious Karolinska Institute, drawing on from its vibrant research environment and world-class teaching.

Skills and GOals

I bring a broad set of skills spanning both wet lab techniques – developed primarily in academic laboratories and at Thermo Fisher Scientific – and bioinformatics expertise gained through individual projects, academic research, and my work at VUGENE. Over the past five years, I have contributed to exploratory, product-oriented, and analytical projects across diverse settings. My bioinformatics experience includes protein design, omics analyses, and other computational methods, paired with a strong understanding of their practical implementation in the wet lab. My long-term goal is to develop a unifying model of human cellular function to advance drug development, therapeutic interventions, and the understanding of disease mechanisms.

Timeline

Computational Biology Lab

Had a short three month try out period in a quantum molecular modelling lab at KTH, where I learned the computational theory behind molecular systems using advanced quantum chemistry methods such as Density Functional Theory and Hartree-Fock.

BioHackathon 2024 - Barcelona

Initiated a one-week biohackathon project focused on single-cell perturbation modeling, aiming to benchmark various models and compare different scoring metrics.

Karolinska Institute - Translational Physiology and Pharmacology

I have begun my two-year master’s studies in Translational Physiology and Pharmacology.

VUGENE

I began my role as a bioinformatician contributing to a diverse array of projects in both industry and academia. My responsibilities include developing and optimizing analysis pipelines, working with major omics data types, analyzing single-cell and spatial transcriptomics data, and managing Google Cloud infrastructure.

Thermofisher Scientific

I was accepted for a thesis project at Thermo Fisher Scientific that lasted one year and seven months. I worked on projects involving oscillating plasmid systems for controlled Tn5 transposition, as well as computational modelling of a chimeric reverse transcriptase aimed at enhancing biochemical characteristics, alongside associated wet lab work for extraction and validation.

Computational and Structural Biology Lab

I embarked on a six-month project focused on structural proteomics, machine learning, and protein language models to predict amino acids in atom resolution involved in protein binding sites.

Vilnius University - Bioinformatics

I began a three year minor in bioinformatics, which culminated in course and thesis projects.

Molecular Biology and Biochemsitry Lab

I began one and a half years of academic lab work focused on the genotypic and phenotypic characterization of pathogenic and wild-type Stenotrophomonas maltophilia strains. This research culminated in presentations at four (FEMS, COINS, BIOATEITIS and JSMC) poster conferences.

Vilnius University - Genetics

I began my four-year bachelor’s studies in Genetics, which included comprehensive coursework and culminated in a thesis project.