Engineering at the Intersection of Energy, Physics, and Systems
A research engineer working across the boundaries of classical and emerging disciplines — from the thermodynamics of turbines to the signal mathematics of deep-space observation.
My work begins with a conviction that the most important engineering problems of our era — energy scarcity, climate change, the limits of communication — are not separate challenges but deeply interconnected systems problems. Solving them requires fluency across disciplines that are too often siloed.
I approach each research domain not as a specialist but as a systems thinker. The same mathematical structures that describe signal propagation in communication channels appear in the dynamics of turbine blade wakes and the noise characteristics of cosmological sensor arrays. Recognizing these connections is where the most interesting engineering happens.
My research spans eight active domains: solar power harnessing, battery systems, power transformers, turbine engine theory, cosmological monitoring, electric and gas combination vehicle motor systems, signal processing, and communication systems. Each project is documented here as it progresses — from initial theoretical framing through experimental validation.
I believe strongly in open research. Where possible, models, datasets, and analysis tools developed in the course of this work are released publicly. Engineering knowledge compounds when it is shared.
At a glance
8
Active research domains
6+
Active projects
4+
Published papers & notes
Research ongoing
Areas of expertise
Energy Systems
- Photovoltaic system design
- Electrochemical storage
- Power transformer modeling
- Grid-scale energy analysis
Propulsion & Mechanics
- Gas turbine thermodynamics
- CFD blade analysis
- Hybrid drivetrain control
- Regenerative systems
Signal & Communications
- Digital signal processing
- Adaptive filter design
- Antenna array theory
- Channel equalization
Instrumentation & Sensing
- Cosmological sensor arrays
- Data pipeline design
- Noise characterization
- Real-time signal extraction
Research philosophy
"The great challenges of our era are fundamentally engineering problems. Solving them requires not just technical skill, but a willingness to think across disciplines and across scales."
Cross-disciplinary thinking
The most productive insights come from applying methods from one domain to problems in another. Signal processing mathematics illuminates turbine noise; battery electrochemistry informs cosmological sensor design.
Rigorous validation
Simulation and theory are starting points, not endpoints. Every model in this research program is validated against experimental data or field measurements before conclusions are drawn.
Open knowledge
Research that stays locked in a lab or behind a paywall has limited impact. Tools, datasets, and findings are shared openly wherever possible.
Want to discuss the research?
Open to collaboration, questions, and technical conversations.