About Patryk Laurent

I am the CEO of the California-based startup Scenera, which focuses on privacy and security for edge video AI.

My main interests are rapid software development and artificial intelligence systems. Computing can an incredible tool for helping us understand and manage complexity.

I help technical leaders and organizations solve hard, high-stakes problems in products and services leveraging AI/machine learning, including edge AI systems, data products, and generative/LLM systems. Whether it’s enabling teams to scale inference across power-constrained devices, designing processes to maintain machine learning pipelines, or aligning product strategy and UX with deep-tech execution—I turn complexity into clarity and momentum.

My approach bridges the boardroom and the codebase. I’m as comfortable framing technical strategy for executives as I am screen-sharing to debug a PyTorch model with an engineer. This leadership style allows me to: attract and retain top talent by modeling the rigor I expect; align product and deep-tech teams around shared milestones; build velocity through rapid prototyping and pragmatic iteration; and institutionalize engineering best practices—from API contracts and version control to unit testing. I lead by example, whether that means designing with a new framework or helping to triage and prioritize issues in real time.

With a PhD in Computational Cognitive Neuroscience, 35 named patents, and 36 peer-reviewed publications, my expertise spans both academic and business worlds. I’ve applied this foundation across startup leadership roles (CEO, CTO, Chief Science Officer, Director of Engineering, AI & R&D) and at a $1.5B+ private equity firm, where I built a technical center of excellence that accelerated portfolio growth through scientific and engineering rigor.

I thrive on unsolved problems, continuous learning, and collaborative execution. Beyond the screen, I’m drawn to the same principles that guide my work: clarity, efficiency, and systems that work. I also make time for musical instruments, the sea, and the occasional hosted breakfast—because perspective, like code, benefits from regular refactoring.