About
I am a technology leader focused on making complex IT environments steerable: through clear target states, working governance, and secure, reliable operations.
My focus spans infrastructure strategy, technical cybersecurity, service quality and governance, the orderly transition of new technologies into regular operations, and practical AI enablement in IT operations.
Modern workplace and sovereign cloud fit into that same picture: digital tools that support employees, and platform foundations with an operating model teams can rely on.
I started out as a computational physicist, which still shapes how I work: analytical, structured, careful about complexity and trade-offs. What interests me most is where strategy becomes execution: operating models, decision structures, and ownership teams can actually work with.
Background
Physics taught me how to take a complex system apart, model it honestly, and respect what the data says. Lattice field theory, numerical simulation and high-performance computing remain a useful foundation for thinking about technology.
Hands-on
My foundation is technical: years of hands-on architecture and engineering work, and a working view of the stack from identity and networking to data platforms. A selection of side projects is on GitHub, including portfolioopt, a portfolio optimization library.
Personal
I live in Düsseldorf and spent several years in Singapore during my PhD. Outside work I enjoy 3D printing, turning ideas into something you can hold.
What I work on
Technology leadership and operating models
Structures, roles, and decision paths that make an IT organization effective.
Enterprise and technical architecture
Target states, standards, and reference architectures that hold up in practice.
IT governance
Governance as decision enablement: fewer gray areas, traceable decisions.
Infrastructure strategy and secure operations
Reliable services and technical security measures that hold up in everyday operation.
Modern workplace
Communication, collaboration and managed devices: digital workplaces that work for employees.
Sovereign cloud foundations
Cloud foundations, clear responsibilities and deliberate choices about control and dependency.
Modernization and build-to-run
Reducing landscape complexity and technical debt, orderly transitions into regular operations.
AI in IT operations
Practical enablement for automation, knowledge access, and operational relief.
Notes
Occasional notes on technology leadership: architecture, governance, operating models, and AI in IT operations. New notes appear here first.
- 01
Governance as decision enablement
Why good governance removes ambiguity instead of adding process, and how to build decision paths people actually use.
- 02
Build to run
Why new technology needs an operating model before it needs a roadmap, and what a clean handover into regular operations looks like.
- 03
Platform ownership
Integrating new platform services into an existing infrastructure organization: roles, responsibilities, and operating models without parallel structures.
- 04
Standardization before individualization
Complexity as the real cost driver in IT, and how to make exceptions deliberate rather than accidental.
- 05
AI in IT operations, soberly
Automation, knowledge access, operational relief: what works today and what to leave alone.
- 06
Target pictures people actually use
Why most target architectures die in slide decks, and what turns one into a navigation instrument instead of a poster.
- 07
Shadow IT is feedback
When users route around official IT, that is data, not disobedience: a review of your paved road, written in effort.
- 08
The org chart is an architecture diagram
Conway's law for leaders: system boundaries follow communication structures, so designing the organization is designing the landscape.
- 09
After the last big upgrade
Evergreen operations: what continuous updating changes about budgets, testing, and ownership when no next migration project is coming.
Hands-on
A hands-on foundation. A few projects I keep public.
Curiosity, made tangible.
Interactive applications, simulations and visualizations — from quantum wave packets and nuclear structure to browser-based AI and application management.
Explore the project collectionportfolioopt
Financial portfolio optimization in Python: Markowitz, minimum-variance and tangency portfolios. A compact example of programming, mathematics and practical problem solving meeting in one place.
View on GitHubSecure multi-party computations
A technical talk on cryptographic protocols and distributed trust: mathematically grounded computer science with a clear connection to real systems.
View the talkhanzifreq
A frequency analysis of Chinese characters: the kind of small, well-defined side question I find hard to leave alone.
View on GitHubAcademic background
My background is computational physics: lattice field theory, large-scale numerical simulations, high-performance computing. Publications include Physical Review D; the full list is on arXiv and ORCID. That background is why I treat IT landscapes as systems: quantify, simplify, verify.
Theoretical and computational aspects of new lattice fermion formulations
PhD thesis, Nanyang Technological University: lattice fermion formulations, numerical methods, and the theory behind them.
Read on arXivSpectral properties and chiral symmetry violations of (staggered) domain wall fermions in the Schwinger model
Lattice fermions and chiral symmetry, studied in a controlled setting.
Read on arXivThirring model at finite density in 0+1 dimensions with stochastic quantization
Stochastic quantization and finite-density problems, checked against an exact solution.
Read on arXiv