Team
The team
Former chip architects, compiler engineers, and SNN researchers who spent years frustrated by the lack of portable tooling for neuromorphic silicon. We built Neurmorph because we needed it ourselves.
Founders & leadership
Founding team
Andrei Volkov
Co-founder & CEO
Computational neuroscience PhD. Previously chip design engineer at Hexalox Semiconductor, focused on low-power processor ISA design for sensor applications. Founded Neurmorph in 2021 after identifying the missing software layer between neuromorphic silicon and deployable inference. Leads company strategy and the HAL architecture program.
Mira Vasquez
Co-founder & CTO
PhD in computer architecture. Previously built MLIR-based toolchains at Vectacore Systems, a semiconductor IP company focused on heterogeneous compute backends. Expert in compiler intermediate representations and graph-level optimization for non-standard ISAs. Leads NMC compiler design and the Python SDK.
Tomasz Brandt
VP Engineering
Former embedded systems engineer at Axenith Defense, where he built DSP compiler backends and real-time OS integrations for signal processing payloads. Specialist in bare-metal C runtimes, hardware watchdog integration, and HAL layer design for resource-constrained silicon. Leads the Edge Runtime and HAL shim porting program.
Leila Farrokhzad
Head of Research
Background in neuromorphic circuit design and computational neuroscience. Previously researcher at Meridian Neuro Research, a neuromorphic systems lab, where she studied spike-timing dependent plasticity and hardware-software co-design for low-power inference ASICs. Expert in multi-modal SNN architectures and online learning at the silicon edge. Leads the research publication program.
Advisors
Scientific advisors
Prof. G. Fischer
Valence Institute of Neural Computation
SNN learning theory, temporal encoding, LIF dynamics
Dr. R. Krishnan
Kestrel Systems Research — Embedded ML
Hardware-software co-design, TinyML, sub-milliwatt inference
We're hiring
Compiler engineers, embedded systems developers, and ML researchers. We're a small team; every person changes what we can build.