Hello!
I’m Maximilian Klepsch
Data Scientist Bioinfomatician System administrator
About Me
I am an experienced data scientist with a robust background in microbiology, DNA forensics, and human genomics. Proficient in Python, R, and Perl, I specialize in analyzing large datasets and their corresponding metadata to derive actionable insights.
My expertise extends to system administration, encompassing networking, user management, system virtualization, databases, and containerization. I thrive in customer-facing roles, where I provide troubleshooting, training, and collaborate closely with clients to ensure optimal system performance and foster independent operations.
With a proven ability to adapt quickly to new challenges and acquire new skills, I have successfully optimized data throughput and streamlined processes, significantly enhancing efficiency and productivity in my previous roles.
Technical skills
Programming
Python
R
Git
SQL
NoSQL
Perl
Bash scripting
JavaScript
PHP
Visual Basic Script
C
Machine Learning
Regression
Classification
Time Series Analysis
Neural Network
Tensorflow
Keras
Pytorch
scikit-learn
SciPy
Pandas
Numpy
Deployment
AWS
Docker
Virtualization
Linux administration
Windows Server administration
DNS
IP-Networking
Public Key Infrastructure
Biology
DNA biology
RNA biology
Infection Biology
Microbiology
Bioinformatics
Next Generation Sequencing
DNA sequencing
RNA sequencing
short read sequencing
long read sequencing
Cell culture
Molecular Biology
Work experience
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Bionano Genomics
Genomic Data Scientist II, EMEA
Jul 2023 - Dec 2024 - Berlin/remote- Architectural & Compliance Consulting: Advised clients on system architecture and collaborated with IT/IS teams to ensure compliance with stringent security standards, optimizing system performance without compromising instrumentation.
- Customer Support & Troubleshooting: Provided in-depth assistance for inquiries related to data analysis, software installation, pipeline troubleshooting, networking, workflow optimization, and feature enhancements.
- Cloud Resource Management: Proactively monitored cloud-based computing resources, ensuring smooth operation across the EMEA region.
- Product Launch & Implementation: Supported the launch and regional implementation of new products across EMEA, ensuring seamless integration and adoption.
- Genomic Data Analysis Support: Assisted customers with genomic data analysis, leveraging Optical Genome Mapping technology to solve complex challenges.
- Technical Setup & Troubleshooting: Collaborated with customers, Field Service Engineers (FSE), and Field Application Scientists (FAS) to install software, configure networks, set up compute clusters, and resolve technical issues efficiently.
- Key Client Liaison: Served as the single point of contact for key customer sites and distributors, ensuring high-level service and smooth communications.
- Customer Training & Webinars: Delivered comprehensive training on software administration, Bionano software, and analysis workflows. Conducted webinars for large audiences, educating a wide range of customers on Bionano’s cutting-edge technologies like Access and VIA (formerly NxClinical).
- Sample Data Distribution: Managed the distribution of sample data from the Bionano Service Lab (EMEA) to support customer projects and validation efforts.
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Bundeswehr Institute of Microbiology
Bioinformatician
Apr 2021 - Mar 2022 - Munich- Designed and implemented algorithms applications to efficiently analyze and visualize large biological data sets
- Developed and maintained high-performance clusters for automated and parallelized analysis of biological data, enabling faster and more accurate results
- Processed and attributed complex data sets from genomics to model and evaluate biological systems, providing valuable insights into the underlying mechanisms
- Guided and performed bioinformatics analyses to investigate outbreaks and inform decision-making, utilizing advanced tools and techniques to generate actionable recommendations
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Forensic Science and Technology Institute of the Hessian State Criminal Police Office
Bioinformatician
Apr 2019 - Mar 2021 - Wiesbaden- Thorough evaluation and visualization of high-throughput sequencing data, utilizing advanced techniques to extract meaningful insights and inform decision-making
- Developed and implemented streamlined applications to automate routine work processes, increasing efficiency and reducing errors
- Successfully planned and established the Next Generation Sequencing infrastructure, ensuring high-quality data output and reliable operation
- Prepared data for forensic reports with independence and attention to detail, meeting stringent requirements and standards
- Led the development, implementation, and optimization of IT infrastructure to support data analysis and management, improving system performance and enhancing capabilities
Education
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SPICED Academy
Data Science Bootcamp
Nov 2022 - Feb 2023 - Berlin- Data analysis of big datasets using Python
- Data visualization in dashboards (Metabase)
- Machine Learning (supervised & unsupervised learning)
- Data organization in databases (PostgreSQL, MongoDB)
- Data infrastructure management (Docker, AWS, dashboards)
- Version-controlled, collaborative coding (Git, Bash)
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Julius Maximilian University of Würzburg
PhD, Microbiology/Bioinformatics
Dec 2014 - Dec 2018 - Würzburg- In-depth bioinformatic analysis of high-throughput sequencing and mass spectrometry data, employing advanced techniques to extract meaningful insights and inform decision-making
- Utilized a diverse range of programming languages to solve complex biological problems, including Python, R, and Perl
- Conducted research on noncoding RNAs and RNA binding proteins in chlamydiae within human cells, achieving results at safety level 2 and contributing to understanding the underlying mechanisms involved in these processes.
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Julius Maximilian University of Würzburg
Master of Science - MS, Biology
Oct 2012 - Oct 2014 - Würzburg- Focus: Microbiology, Bioinformatics
- Thesis: “Reverses Faltungsproblem und Protein Design
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Julius Maximilian University of Würzburg
Bachelor of Science - BS, Biology
Oct 2009 - Aug 2012 - Würzburg- Focus: microbiology, cell and developmental biology
- Thesis: “Molekulare Charakterisierung von antimikrobiellen Peptiden der Ameise Camponotus floridanus“
Portfolio
Publications
- Preprint: Thomas Steiner, Marie Zachary, Susanne Bauer, Martin J. Müller, Markus Krischke, Sandra Radziej, Maximilian Klepsch, Bruno Huettel, Wolfgang Eisenreich, Thomas Rudel, Dagmar Beier
A central role of sibling sRNAs NgncR_162/163 in main metabolic pathways of Neisseria gonorrhoeae bioRxiv 2022.05.24.492095; doi: https://doi.org/10.1101/2022.05.24.492095 - Marie Zachary, Susanne Bauer, Maximilian Klepsch, Katharina Wagler, Bruno Hüttel, Thomas Rudel, Dagmar Beier
Identification and initial characterization of a new pair of sibling sRNAs of Neisseria gonorrhoeae involved in type IV pilus biogenesis. Microbiology (Reading). 2021 Sep;167(9). doi: 10.1099/mic.0.001080. PMID: 34515630. - Michaela Groma, Sarah Horst, Sudip Das, Bruno Huettel, Maximilian Klepsch, Thomas Rudel, Eva Medina, Martin Fraunholz
Identification of a Novel LysR-Type Transcriptional Regulator in Staphylococcus aureus That Is Crucial for Secondary Tissue Colonization during Metastatic Bloodstream Infection. mBio. 2020. PMID: 32843554; PMCID: PMC7448277. - Jessica Horn, Maximilian Klepsch, Michelle Manger, Christiane Wolz, Thomas Rudel, Martin Fraunholz.
The long non-coding RNA SSR42 controls Staphylococcus aureus α-toxin transcription in response to environmental stimuli. J Bacteriol. 2018 PubMed PMID: 30150231 - Nitish Gulve, Celina Frank, Maximilian Klepsch, and Bhupesh K.
Chromosomal integration of HHV-6A during non-productive viral infection. Methods Mol Biol. 2017. PubMed PMID: 28265989.
Hosted on a Strato vps
and created by Maximilian Klepsch 2024