Kevin (Dr.) Baßler - Procurator and AI Lead
Experience
Procurator and AI Lead
ValueData GmbH
- Serve as AI lead for life-science solutions, integrating advanced AI models directly into company workflows and ensuring seamless deployment.
- Design and implement deep learning architectures (PyTorch, Keras) for complex biomedical challenges, including cell segmentation, multimodal omics analysis, and prediction of point clouds.
- Develop and deploy robust LLM-based systems, including RAG architectures and agentic workflows using LangGraph, to facilitate natural-language interaction with complex medical data.
- Lead cross-functional initiatives to apply foundation models and explainable AI (xAI) to clinical and evolutionary algorithms.
Co-Founder, CTO, and Chief Data Scientist
aimed analytics GmbH
- Co-founded an innovative AI-assisted omics analytics startup, successfully securing the accelerator program of the DIGITALHUB.DE Bonn and Startup Transfer.NRW.
- Led the technical development of a fully-automated analysis platform offered as a managed service, specifically designed to accelerate decision-making in medical data analysis.
- Directed a team of 9 employees, aligning product roadmaps with real-world biomedical research workflows and leading stakeholder communication.
- Drove business development, product presentation, and budget planning to ensure sustainable company growth.
Data Scientist
Freelance for Pharma Companies & Academia
- Provided expert, end-to-end data science consulting and analytical services for high-dimensional medical data to academic and pharmaceutical partners.
Industry Experience
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Experienced in Biotechnology, Healthcare, Education, and Pharmaceutical.
Business Area Experience
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Experienced in Research and Development, Product Development, Business Intelligence, and Information Technology.
Summary
Hello! I'm Dr. Kevin Baßler – a molecular biomedicine researcher who at some point decided to trade the lab pipette for Python, PyTorch, and the cloud. As AI Lead, I operate right at the intersection where things are really exciting today: the combination of massive amounts of medical omics data and cutting-edge artificial intelligence. I speak the language of biologists as fluently as R, Bash, and Python – and that's exactly what it takes to turn "Big Data" into real "Big Impact". My work is deeply embedded within ValueData GmbH. As a highly innovative AI company, we have a clear mission: we deliver the absolute best, most scalable, and smartest data-science solutions to complex data projects in the biotech and pharma industries. Whether it's predictive models for drug discovery, single-cell analytics, or the use of LLMs and agent frameworks (like LangGraph) – we don't stop at cool AI buzzwords. We build production-ready AI that integrates seamlessly into existing workflows and gives researchers real answers. I love cracking tough analytical nuts, building complex architectures, and leading teams to genuine innovations. So if you're looking for someone who combines deep biomedical expertise with state-of-the-art MLOps and AI architecture, backed by a fantastic, innovative company – let's talk. Coffee (or a good code review) is on me!
Skills
Co-founded And Served As Cto/chief Data Scientist For Aimed Analytics Gmbh, Developing A Fully-automated Analysis Platform For Medical Data.
Built And Led Cross-functional Teams At Scale, Successfully Managing 9 Employees While Securing Funding And Driving Business Development.
Published First-author Systems Immunology Research Applying High-dimensional Data Analysis To Human Treg Cells (Foxp3/meox1) And Alveolar Macrophages In Early-stage Copd.
Contributed To High-impact, Widely Cited Meta-analyses Mapping The Human Immune Landscape, Including Severe Covid-19 Myeloid Cell Dysregulation And Sars-cov-2 Entry Genes.
Successfully Secured Highly Competitive Entrepreneurial Funding, Including The Exist Gründerstipendium, Nrw Gründerstipendium, And Startup Transfer.nrw For Patient Stratification Projects.
Biomedical & Wet-lab Expertise: Cell Screening And Assays, Next Generation Sequencing, Big Data Generation, Experimental Planning.
Data Science & Omics Analytics: Single-cell Rna-seq, Multi-omics Integration, Immune Cell Annotation, Differential Expression, Network Inference, Scalable Machine Learning For Transcriptomics.
Artificial Intelligence & Machine Learning: Deep Learning For Imaging/screening, Foundation Models, Evolutionary Algorithms, Xai, Predictive Modeling For Point Clouds, Cell Segmentation.
Llms & Genai: Generation Of Agentic Mesh (Langgraph), Retrieval-augmented Generation (Rags), Natural-language Interfaces For Data Analysis.
Ai, Ml & Mlops: Python, Pytorch, Keras, Langgraph, Mlflow, Aws Sagemaker.
Bioinformatics & Data Engineering: R, Rust, Bash, Sql, Apache Spark.
Pipelines, Devops & Deployment: Snakemake, Docker, Singularity, Git, Fastapi, Shiny.
Languages
Education
Rheinische Friedrich-Wilhelms-Universität Bonn
PhD in Molecular Biomedicine · Molecular Biomedicine · Bonn, Germany
Rheinische Friedrich-Wilhelms-Universität Bonn
MSc in Life and Medical Sciences · Life and Medical Sciences · Bonn, Germany
Rheinische Friedrich-Wilhelms-Universität Bonn
BSc in Molecular Biomedicine · Molecular Biomedicine · Bonn, Germany
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