Goals
Professionally, I aim to refine my modelling skills, build accurate digital representations of biological systems and contribute to personalised medicine. I value continuous improvement and collaboration and hope that my work will ultimately help patients through better diagnostics and treatments.
Personally, I strive for balance: enjoying hobbies like, staying curious about data-driven markets and documentaries while working towards long-term financial stability.
Research
My research blends mathematical rigour with biological insight. I focus on building multi‑scale models that connect intracellular signaling, cellular metabolism and population‑level behaviour. To date I have developed roughly 25 signalling models that form the core of the immune system digital twin and have worked on integrating signalling and metabolic pathways.
My toolkit spans diverse mathematical frameworks, including ordinary and partial differential equations, Markov chains, agent‑based modelling and stochastic approaches. By combining these techniques with modern statistical methods and kinetic modelling, I strive to produce models that are both mechanistically faithful and predictive.
Projects
In my work with the Helikar Lab I contribute to several projects that advance our understanding of immune function and its modulation.
- Immune Digital Twin: A mechanistic model of the human immune system that I am helping to build.
- Signalling–Metabolism Integration: Bridging intracellular signalling cascades with metabolic networks to uncover how environmental cues sculpt immune responses.
- Multi-scale Mathematical Modeling of Immune Cell Behavior: Developing multi-scale mathematical models that predict how immune cells integrate environmental and metabolic signals.
You can explore my code and contributions on GitHub and GitLab.