Technical excellence
Clean, efficient, well-structured code that remains understandable after the first result has shipped.
AI / Systems Engineer | Computational Neuroscience PhD
Engineering reliable models, algorithms, and research software for complex biological systems.
I combine 8+ years of ODE-based modeling, parameter estimation, sensitivity analysis, and scientific programming with practical software engineering. I am an AI / Systems Engineer at Vectonomous Labs and founder of Octidy, a Firebase-first Android app for fair household chore coordination.
Current: Vectonomous Labs · Founder of Octidy
Technical focus
Modeling + implementation
8+years research software
2peer-reviewed publications
3major project areas
2025Octidy founded
Python
MATLAB
Kotlin
ODE modeling
SBML
FAIR workflows
Scientific AI Model validation, data systems, and applied workflows
Research software MATLAB/Python frameworks for reproducible modeling
Product engineering Kotlin, Firebase, and Android delivery through Octidy
About
Research depth, product-minded implementation.
I solve complex problems with algorithms and scientific software. I am strongest where mathematical rigor has to become software a team can understand, validate, and use.
My background spans computational neuroscience, biochemical pathway modeling, Android product engineering, and current applied AI systems work.
Interdisciplinary thinking
Biology, mathematics, and software engineering each shape how I frame and solve problems.
Open collaboration
I document decisions, share context, and build workflows that future contributors can pick up.
Selected work
Evidence across research software and product engineering.
Short summaries live here; the Work page carries the project-level detail and case-study links.
Android product engineering
Octidy Android App
A Firebase-first Android app that uses bidding, assignment, and progress tracking to make household chores more transparent and fair.
Read case studyScientific software
Subcellular Workflow
A modular, FAIR-compliant MATLAB framework for ODE biochemical pathway modeling, analysis, and parameterization.
Read case studyTechnical toolkit
Core skills for hiring teams to scan quickly.
Applied AI systems
AI/ML systems, backend infrastructure, data pipelines, and agentic engineering workflows.
Scientific software
Reusable, validated tooling for computational biology, modeling, and reproducible research.
Product engineering
Kotlin, Firebase, Android architecture, and end-to-end ownership through Octidy.
Python
MATLAB
Kotlin
ODE modeling
SBML
FAIR workflows
Contact
Discuss scientific software, modeling, applied AI, or collaboration.
Email is the best first step for professional inquiries. Include context and a few possible times if a quick call is useful.
AI / Systems Engineer | Computational Neuroscience PhD
Engineering reliable models, algorithms, and research software for complex biological systems.
I combine 8+ years of ODE-based modeling, parameter estimation, sensitivity analysis, and scientific programming with practical software engineering. I am an AI / Systems Engineer at Vectonomous Labs and founder of Octidy, a Firebase-first Android app for fair household chore coordination.
About
I solve complex problems with algorithms and scientific software. I am strongest where mathematical rigor has to become software a team can understand, validate, and use.
Technical focus
Modeling + implementation
8+
years research software
2
peer-reviewed publications
- Computational Neuroscience PhD
- Current: Vectonomous Labs · Founder of Octidy
- Copenhagen, Amsterdam or Remote
3
major project areas
2025
Octidy founded
Python
MATLAB
Kotlin
ODE modeling
SBML
FAIR workflows
Scientific AI Model validation, data systems, and applied workflows
Research software MATLAB/Python frameworks for reproducible modeling
Product engineering Kotlin, Firebase, and Android delivery through Octidy
About
Research depth, product-minded implementation.
I solve complex problems with algorithms and scientific software. I am strongest where mathematical rigor has to become software a team can understand, validate, and use.
My background spans computational neuroscience, biochemical pathway modeling, Android product engineering, and current applied AI systems work.
Technical excellence
Clean, efficient, well-structured code that remains understandable after the first result has shipped.
Interdisciplinary thinking
Biology, mathematics, and software engineering each shape how I frame and solve problems.
Open collaboration
I document decisions, share context, and build workflows that future contributors can pick up.
Technical toolkit
Core skills for hiring teams to scan quickly.
Applied AI systems
AI/ML systems, backend infrastructure, data pipelines, and agentic engineering workflows.
Python
MATLAB
Scientific software
Reusable, validated tooling for computational biology, modeling, and reproducible research.
Kotlin
ODE modeling
Product engineering
Kotlin, Firebase, Android architecture, and end-to-end ownership through Octidy.
SBML
FAIR workflows
Selected work
Evidence across research software and product engineering.
Short summaries live here; the Work page carries the project-level detail and case-study links.
Android product engineering
Octidy Android App
A Firebase-first Android app that uses bidding, assignment, and progress tracking to make household chores more transparent and fair.
Read case studyScientific software
Subcellular Workflow
A modular, FAIR-compliant MATLAB framework for ODE biochemical pathway modeling, analysis, and parameterization.
Read case studyContact
Discuss scientific software, modeling, applied AI, or collaboration.
Email is the best first step for professional inquiries. Include context and a few possible times if a quick call is useful.