Senior scientist in Bioinformatics, Finsen Laboratory, & Biotech Research and Innovation Centre , Copenhagen, Denmark.
This is a position where I work on past and current projects I have had as a Post-Doc. I lead the bioinformatics efforts of the laboratory (students, other bioinformaticians) and coordinate with other members of the laboratory any needs they may have in terms of bioinformatics.
01/02/2010 - 31/12/2014
Post Doc. position, Biotech Research and Innovation Centre & Bioinformatics Centre, University of Copenhagen, , Copenhagen, Denmark.
We use acute myeloid leukemias (AML) as a model system for taking the first step towards development of truly individualized therapeutic protocols for the treatment of this disease. Our strategy relies on isolation of candidate cell populations needed for sustaining the leukemia, followed by a characterization of their genetic programs. This can reveal their central molecular defect(s). Such strategy allows for the implementation of proper individualized therapeutic protocols and provide guidelines for the development of novel drugs.
08/02/2009 - 31/01/2010
Post Doc. position, Department of Pharmaceutics and Analytical Chemistry, Faculty of Pharma- ceutical Sciences, Copenhagen University, Copenhagen, Denmark.
The goal of the project was to use dynamical models to simulate both passive diffusional and transporter mediated fluxes or permeabilities of active compounds across an in vitro biological barrier.
1/02/2006 - 31/01/2009
PhD student in Immunological Bioinformatics, Center for Biological Sequence analysis (CBS) Denmark, Danish Technical University (DTU).
In this thesis, I created a method to predict major histocompatibility complex class I and II epitopes with the ability to cover a large part of the human population which was later incorporated in two large scale simulations of the immune system. I created one of these simulations.
Research in Bioinformatics - Biosimulation.
I am interested in mathematical modelling of biological system, with emphasis on the merging of Bioinformatics to the more traditional modelling methods.
The study of any biological system can rely on the use of models and theories, and falls under a field of biology known as theoretical biology. Theoretical biology is an established field, which relies on formal mathematical language to frame biological models. Concurrently, the somewhat newer field of bioinformatics aims at using data-driven computer algorithms to gain a detailed view of any biological system.
It takes extensive use of mathematics, information science, computer engineering, genomics, proteomics and experimental methods to bridge biology and informatics. Together, these approaches can advance our understanding of complex biological systems, and make a step towards personalized medicine.
Specialties:Immunological bioinformatics, Biosimulation, microarray analysis. data mining, machine learning, Cancer bioinformatics.