About
Summary
I am a trained scientist, enthusiastic data scientist and hobby programmer.
On the science track I have specialized in biology, with extensive molecular and cell biology wet lab experience as well as bioinformatics ability. Recently I have pursued deepening my bioinformatics abiltiy in the area of omics data through many analysis of genomics, epigenomics, transcriptomics, proteomics and immunopeptidomics data. My aim is to obtain as complete as possible understanding of the cell by disecting its mulit-omics facet. Perhaps my nect omics target is metabolomics?
With large data comes difficulty analysing. To this end I hope to utilize my data science capability to generate models that can encompass all the data. Neural networks and deep learning seem to be the most obvious candidate here. To make this theory into reality is where my ability from programming comes into play.
I am a "Full-stack bioinformatician".
Positions
Postdoc Feb 2023 -
Immunopeptidomics (Tenzer), German Cancer Research Center
Immunopeptidomics using LC-MS data from timsTOF and Orbitrap equipment.
Identification of immunopeptides from cell line and patient samples.
Use proteogenomic approach to detect novel non-canonical immunopeptides associated with cancer using WES and RNA-seq data.
Develop novel methods to infer peptide sequence from mass spectrometry data.
Education
university of leed
Field of study: PhD Molecular and cellular Biology
Degree: PhD
University of Leicester
Field of study: Natural Sciences
Degree: Msci
Skills
I have gained experience in a range of topics and would fit into many, if not all biological research environments (I can even be server/network admin). For specific areas where I have not yet had experience, I can easily able to adapt to it as certainly some skills of mine are translatable.
Keywords: Bash, C, Cellular Biology , Epigenetics, Genomics, Molecular Biology, Proteomics, Python, R, transcriptomicsProfessional interests
Programming and AI
Curing Cancer
New opportunities
Open to new opportunities: