SKA Labs is a technically focused small business that develops computational methods for cardiovascular sensing, optical measurement, simulation, synthetic data, and uncertainty-aware inference. We work at the intersection of physiological modeling, signal processing, machine learning, and sensor design. We turn difficult sensing and inference challenges into tractable measurement systems. Our work is strongest where measurements are noisy, hidden states must be inferred indirectly, and technical credibility depends on more than a generic AI workflow.
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What we do
What we do
Physics-Informed Modeling
Physics-Informed Modeling
We build mechanistic and reduced-order models of physiological, optical, microfluidic, and dynamical systems to support sensing, simulation, and decision-making.
Synthetic Data and Digital Twins
Synthetic Data and Digital Twins
We develop synthetic data pipelines and digital twin frameworks for wearable sensing, monitoring, validation, and algorithm development.
Bayesian Inference and Robust AI
Bayesian Inference and Robust AI
We design uncertainty-aware inference systems, surrogate models, and robust optimization pipelines for safety-critical applications.
Focus areas
Focus areas
Current SKA Labs work is centered on a few recurring themes
Wearable physiological sensing and cardiovascular monitoring
Optical biosensor design for robust performance across operating conditions
Digital twin and simulation-based monitoring
Synthetic multimodal biosignal generation for AI and evaluation
Bayesian tracking and inverse modeling from peripheral sensor data
Computer vision and multimodal perception for medical applications
Physics-informed AI for sensor fusion, simulation, and hard-to-measure states
Why SKA Labs
Why SKA Labs
SKA Labs is strongest on projects that sit between research novelty and practical transition: projects where the work must be technically rigorous for research proposals and peer-reviewed publications but also practical enough to support prototypes, evaluation frameworks, and translational R&D.
Strong background in biosignals, simulation, inverse problems, and machine learning
Experience building synthetic data and model-based sensing pipelines
Comfortable working from early research concepts through validation of technical artifacts
Well suited for applied research, teaming efforts, and strategic collaborations
Looking to partner with us?
Looking to partner with us?
SKA Labs works with research partners, universities, private companies, and government-facing teams on technically demanding R&D efforts involving sensing, simulation, synthetic data, inverse modeling, and AI. If you are exploring a proposal, prototype, collaboration, or need expert consultation, we would be glad to talk.
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