Products & Application
Omnigen is a team of ambitious scientists who all have a background in genetics and/or bio-informatics. Omnigen tries to find the answers to medical, genetic and biological questions from different fields with the help of the latest scientific and technical findings.
Omnigen is aiming to use biological knowledge and research in a positive and useful way for society. We do this by, for example, bring the results of scientific research closer to the broad public. We also develop methods to make the treatment of illnesses better and more efficient and we do research to accelerate and professionalize the development of partners.
The group of Omnigen BV is characterized by different operating companies who each have their own different theme or focus point but are bundled together in the parent company Omnigen.
Products & Application
Products & Application
Consumers Sales Marketing
Berry is the founder of Omnigen and works with every aspect of the company. He has a background in both bioinformatics and software development.
Lody focusses on the science behind Omnigen’s products and services Omnigen (B2B and B2C). This encompasses the development of new products and services as well as the translation of hard science into an applicable and comprehensible product for the consumer.
Marije is guiding our team of researchers and specialist with her background in biomedical sciences and with her experience in scientific research.
Inge has been responsible for the complete (financial) administration of Omnigen for several years. In her role as Administrator, she is the central point of contact for both internal- and external contacts. She is also a Privacy Officer, in which role she supervises the way Omnigen handles confidential information.
As the sales and account manager, Henry is part of both the product development and product content. His role is to translate the wishes of consumers to practical solutions. He also supports the scientific research team.
Jasper mainly works on Google Cloud projects but also helps out with research-oriented projects. He has a lot of experience with genetic data processing and ancestry analyses.
Timothy is experienced in data science projects and works on machine learning solutions for the Life Sciences field. He also develops cloud implementations of these solutions and other scientific software.
Matthijs mostly works on Google Cloud projects. Next to that, he also develops software to facilitate private genetics research.
Duncan joined the team as a trainee with a background in bioinformatics. As a result, he has some genetic analysis experience under his belt. Besides this, he implements various cloud solutions for processing genetic data and providing data-driven business insights.
Myrthe is conducting her doctoral research within Omnigen on the effectiveness of chemotherapy in patients with pancreatic cancer in collaboration with Erasmus University. For Omnigen, she is involved in the development of a reliable model for personalizing treatment options for pancreatic cancer patients. She has a background in biomedical sciences and bioinformatics.
Annelies works on Omnigen's vision to bring biological developments and outcomes closer to society. From various succesful projects to genetic interpretation, she translates scientific information in an understanding way.
As a bioinformatics intern, Lieke researches whether adding pharmacogenetics as a new product or service is beneficial for Omnigen. It will consist of a new pipeline function that can determine the dosage of (preselected) medicines. The graduation internship is part of her bachelor in Bioinformatics at the Hogeschool Leiden.
As a bioinformatics intern, Mariëlle researches the correlation between DNA analyses and phenotype information provided by the horse owner. In addition, she will conduct a literature study on pre-implantation genetic diagnostics in order to select possible equine embryos with desired genetic traits for insemination. Her graduation internship is part of the bachelor's degree in bioinformatics at the Hogeschool of Leiden.
As a bioinformatics intern within the PITA project, Gwen researches which pancreatic cancer patients will react to a certain therapy. For this, she will make an application in which the the data of the patients will be researched and the results will be visualised. She will also make a pipeline in which these results will be compared to results of other research to find a connection.
As bioinformatics intern within the PITA project, Lucas researches different algorithms that can detect copy number variants. This information can be used to assess if patients with pancreatic cancer will respond to certain medicines. Lucas will make a pipeline where the various algorithms can be tested against a gold standard dataset.
As a bioinformatic intern within the PITA project, Mieke researches which pancreatic cancer patients will have toxic effects from chemotherapy. For her thesis she will use SNP data and process these with machine learning techniques, to make predictions. Her graduation internship is part of the master Bioinformatics at the Vrije Universiteit Amsterdam.
As a bioinformatics intern, Michelle is involved in the PITA project. Several data models have been developed to predict the response of pancreatic cancer patients to chemotherapy. Michelle will integrate these different models into an ensemble model to improve the overall performance. Her graduation internship is part of the master Bioinformatics at the VU University Amsterdam.