Lukas Heumos

Munich, Germany

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.

5+ Years Job

Experience

20+ Projects

Completed

Freelance

Available

Download CV

My Interests

Music

Travelling

Programming

Sports

Space

Books

Video games

Forest

Services

Bioinformatics

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.

Software Engineering and Architecture

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.

Machine Learning and Artificial Intelligence

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.

Software Architecture Templates

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.

Services

Bioinformatics Consulting

$ On request hour

Omics Data Analysis
Nextflow Pipelines
Visualization Tools
Custom Software Solutions

Software Engineering and Machine Learning

$ On request hour

Web Development
Software Libraries
Dev Ops
Machine Learning

Software Architecture Templates

$ On request

Software Architecture
Containerization
Continuous Integration
Templating

Experience

Intern

2021-2024 | PhD student

PhD student in the labs of Fabian Theis and Herbert Schiller.

Intern

2020 | Boehringer Ingelheim

Open source development of MegaQC and internal tooling.

Research Software Engineer

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

TOEFL Team Leader & Test Administrator

2016 - 2020 | TOEFL Tübingen

Jointly leading a team of about 10 students and supervising TOEFL tests.

System Administrator & Bioinformatician

2016 - 2018 | Paleogenetics EKU Tübingen

Maintained the computational infrastructure and provided bioinformatics support.

Education

Doctor of Philosophy

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.

Master of Science

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.

Bachelor of Science

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 .

Skills

Python

90%

Java

80%

Nextflow

80%

Full Stack Web Development

75%

80%

Pandas

70%

Pytorch

70%

Scikit-learn

60%

Tensorflow

My Working Process

01

Discuss And Evaluate Idea

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.

02

Getting Feedback of Experts

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.