As part of a team at BCG GAMMA I developed CO2AI, an app to reduce carbon emissions. CO2AI is a carbon accounting and simulation platform for companies. It integrates large, curated libraries of emission factors to create accurate and detailed predictions based on simulations and business forecasts. As of now, it is the most widely used and feature-rich carbon accounting app on the market. As a full-stack developer I created several new features, and helped in refactoring, increasing performance, and security.
As part of a DevOps team I was building a GxP-validated Pharmacometrics IT landscape. The old one had to be replaced. Instead of just re-creating all its parts we wanted to design it to be more efficient and flexible. Thus, apart from developing the landscape itself, a lot of time was put into understanding users, business processes, and regulatory requirements.
This is a side-project I did on the weekend. It's an interactive pilot chart for surfers, pilots, sailors, paragliders, and anyone else interested in wind strength and directions. There are many great apps, like windy.com, that show you the current winds with short-term predictions. However, I didn't find anything with historic wind data for planning a holiday or passage.
In a machine learning research group I created a transformer wich predicts antibody characteristics. I re-designed a BERT - a transformer commonly used in NLP - to understand amino acid chains of antibodies. Then, I pre-trained this transformer on hundreds of millions of antibodies and fine-tuned it to specific problems in the drug discovery and development pipeline.
This was a little side-project I did to help beekeepers. I developed and trained a model which can detect the content of a honeycomb photo. E.g. it can count the number of cells with larvae, pollen, nectar and so on. You can use this to get an accurate estimate of your beehive's health.
As part of a DevOps team I developed, deployed, and maintained 2 visual analytics platforms: one for genes, one for diseases. These platforms combined multiple data sources of each entity and represented them in interactive plots. One interesting aspect of this project was to find clear, useful, and scientificly accurate ways of representing the data. Another interesting aspect was the harmonization of data and curation of ontologies.
I co-founded and supported Biotop Community Lab e.V. as vice chairman. This is a no-profit organization for promoting the democratization of science through access to biotechnology and learn-by-doing education. We are a part of the global DIY-bio movement, which focuses on bringing biology outside of academic and industrial environment to the lay public. We believe that biology is technology and we want to put citizens in the conditions to make use of it, as any other common technology.
Data from single cell RNA sequencing experiments are often confounded with technical variability due to experimental batches. Using mathematical modeling and machine learning methods I measured these batch effects and predicted significantly differential distributions.
This is a webapp I wrote during my Masters when working with pooled CRISPR/Cas9 screens. Analyzing the data from these screens is tedious and largely repetitive. This tool does all the pre-processing, data quality checks, and differential distribution calculations. Years later I noticed this tool was used by several Pharma companies.
I worked in a microfluidics laboratory which wanted to create synthetic cells using micro-droplet technology. For this surfactant mixtures had to be optimized. I helped establishing a system which could measure surface tension and other physical properties directly inside the micro-droplets using computer vision.
A Singaporean Start-up found a set of genes which were differentially expressed in leukocytes of sepis patients. I facilitated a proof of value study by analyzing patient blood samples on call. The work included leukocyte mRNA extraction and qPCR.
This thesis combined spatial simulations and synthetic biology to compare static and spatio-temporal oscillating concentration gradients within the cell. The work included modeling experiments in silico and then performing them in vivo.
Major in bioinformatics. Courses in Mathematical Modeling and Data Analysis, Entrepreneurship, Translational Medicine, and Biomimetic Systems.
Degree: MSc Molecular Biotechnology (1.1)
Major in bioinformatics. Additional language courses in English and Chinese, and crash courses in economics and project management.
Degree: BSc Molecular Biotechnology (1.7)
Basic military service at Bundeswehr
I co-founded (URL gladly on request) a non-profit organization promoting the democratization of science through access to biotechnology and learn-by-doing education.
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