Jesse Asimeng
Doctoral Researcher in Computational Life Sciences
Computational Biologist dedicated to integrating data science and machine learning with bioinformatics to accelerate scientific discovery and drive innovation.
Doctoral Researcher in Computational Life Sciences
Computational Biologist dedicated to integrating data science and machine learning with bioinformatics to accelerate scientific discovery and drive innovation.
PhD in Computational Life Sciences
University of Bonn & DZNE, Germany (Current)
MSc Molecular Biology (Bioinformatics)
Stellenbosch University, South Africa (2023)
BSc Biological Sciences
Kwame Nkrumah University of Science and Technology, Ghana (2018)
I am a Doctoral Researcher in Computational Life Sciences with 5+ years' experience in bioinformatics, machine learning, and data visualization. I am skilled in R, Shiny, federated learning, and high-throughput data analysis. I have a proven record of academic excellence and impactful scientific contributions
My skillsets include:
Programming & Tools: R, Python, Bash, Django, Git
Statistical Modeling: Linear models, Generalised Linear Mixed Models (longitudinal data)
Machine Learning & Artificial Intelligence: Graph Neural Networks, Explainable AI (model interpretation), Federated Learning, Pytorch, sci-kit learn
Data Science Workflow: Nextflow, High-Performance Computing (HPC), Containerisation (Docker & Singularity)
OS: Linux, Windows
Data Visualisation: ggplot2, R Shiny (Interactive Dashboard)
Domain expertise: Transcriptomic (Bulk & Single-cell RNA-seq) Data Analysis, Multiplexed ELISA Data Analysis, Clinical Data Analysis
ML/AI-based inference and decision support in complex systems.
Single-cell and bulk RNA sequencing analysis to uncover complex biological processes
Developing innovative bioinformatics tools and algorithms to advance genomic and transcriptomic research methodologies.
Climbing Pearls Ladder of Causation—from correlation to causation to counterfactual reasoning(“what if scenarios”)
Single cell Omics analysis and Swarm Learning
Assisted in the research, development, and optimization of artificial intelligence (AI) and computer vision algorithms, enhancing their performance and accuracy.
Assisted with the development and improvement of website features and functionality to support project objectives
Guided and supported students in enhancing their writing skills through personalized feedback and targeted instructional strategies
Biomedical research in tropical diseases
Venusberg-Campus 1, Gebäude 99, 53127 Bonn
Germany
Department of Systems Medicine,
German Center for Neurodegenerative Diseases