2021-2024 | PhD student
Hello! I’m Lukas Heumos, a bioinformatics and machine learning research scientist & developer with over three years work experience. I started programming in my children’s room and solidified my education with bioinformatics degrees from the university of Tübingen. Now I’m based in Munich, Germany, where I'm pursuing my PhD in the labs of Fabian Theis and Herbert Schiller.
In my spare time I enjoy hiking in the mountains, learning from books and doing sports of all kinds.
I'm strongly experienced in genomics, transcriptomics, proteomics data analysis and have been involved in the development of several containerized, HPC ready Nextflow pipelines. I offer custom Nextflow pipelines, in depth data analysis and the general development of bioinformatics tools.
During the course of my ongoing professional career as a software engineer I've had the pleasure of designing and implementing several complex software projects in all major domains. I am always happy to tackle new challenging software projects and eager to learn new skills.
My participations in MIT's iGEM competition always culminated in the development of state of the art machine learning and deep learning tools. My ML and AI knowledge is further solidified by extensive lectures attended in the Cyber Valley, Tübingen. Hence, I am able to offer the design, implementation and evaluation of machine learning tools.
As initiator and lead developer of the cookietemple project I am highly experienced in the design and implementation of streamlined, but flexible software templates. If you are interested in custom software architecture templates do not hesitate to contact me.
2021-2024 | PhD student
PhD student in the labs of Fabian Theis and Herbert Schiller.
2020 | Boehringer Ingelheim
Open source development of MegaQC and internal tooling.
2018 - 2020 | Quantitative Biology Center
Software development of libraries, tools and portlets. Design and implementation of a containerized large-scale machine learning infrastructure based on Apache Spark. GUIDE-Seq data analysis
2016 - 2020 | TOEFL Tübingen
Jointly leading a team of about 10 students and supervising TOEFL tests.
2016 - 2018 | Paleogenetics EKU Tübingen
Maintained the computational infrastructure and provided bioinformatics support.
2021 - 2024 | PhD
Bioinformatics and Machine Learning PhD at the Institute of Computational Biology at the Helmholtz Centre for Environmental Research and the Technical University of Munich in the groups of Fabian Theis and Herbert Schiller. Member of the Human Cell Atlas Consortium. Investigation of cell-cell communication and the regulation of gene programs in health and disease focusing on the lung. Development of (machine learning) based single-cell analysis methods.
2018 - 2020 | Bioinformatics MSc. EKU Tübingen
Bioinformatics MSc. at the Eberhard Karls University Tübingen. Focus on NGS, transcriptomics, functional genomics, machine learning and deep learning.
2015 - 2018 | Bioinformatics BSc. EKU Tübingen
Bioinformatics BSc. awarded by the Eberhard Karls University Tübingen. Focus on computational immunomics and proteomics. Thesis: 'Automation and Optimization of Mass Spectrometry Based Data Processing Workflows', supervised by Professor Dr. Oliver Kohlbacher. Achieved best possible grade 1.0 .
A major part of any project should be devoted to an in depth understanding of the underlying issue and the design of a suitable solution.
My broad and highly experienced network of experts in all domains bioinformatics, software engineering and machine learning assures that only viable and top quality solutions are implemented.
The designed and evaluated solution is implemented in a timely and sustainable fashion.
A project is very rarely perfect after the initial implementation. A continuous refinement process ensures a very high quality of delivery.