Team

Research-led, clinically oriented, product-focused

NeuroTwin brings together expertise in computational neuroscience, organic memristive systems, clinical collaboration, and technology commercialization.

Team

Victor Erokhin

Research Lead · Organic Memristive Devices and Neuromorphic Systems

Victor is Research Director at the Consiglio Nazionale delle Ricerche, Institute of Materials for Electronics and Magnetism (CNR-IMEM) in Parma, Italy. He holds an M.Sc. in physics and engineering and a Ph.D. in physical and mathematical sciences.

His research focuses on the realization of neuromorphic systems, including organic memristive devices and synapse-like adaptive hardware. He has authored or co-authored more than 200 scientific publications indexed in Web of Science and Scopus and regularly presents as a plenary and invited speaker.

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Max Talanov

Research Lead · Neural Modeling and Computational Neuroscience

Max is a leading researcher in spiking neural networks, neuromorphic computing, and neurosimulations, ranked among the top 10% of Serbian scientists. He has authored more than 70 publications, holds two international patents and two registered software technologies, and has an H-index of 14 with more than 928 citations.

His work advances translational neuromorphic systems, including memristive neural networks and neuroprostheses for spinal cord injury. He contributes to the international scientific community through major conference program committees and competitive research grants.

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Oleg Pravdin

CBDO & CTO

Oleg leads business development, product strategy, clinical partnership development, and technology commercialization. He connects the research roadmap with clinical collaboration, pilots, and go-to-market execution.

He brings extensive experience building global startups and designing high-load technology architectures across innovative industries, including artificial intelligence, EdTech, and blockchain.

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How we work

Research-first credibility

We build from scientific foundations and validate with clinical partners.

Clinician-in-the-loop

NeuroTwin is designed to support clinical reasoning, not replace it.

Incremental validation

We start with focused motor recovery modeling before expanding toward broader neural digital twins.

Responsible deeptech

We communicate clearly about what is validated today and what remains R&D.

Interested in validating patient-specific neural digital twins in rehabilitation?

We are inviting neurorehabilitation clinics and research partners to explore retrospective and prospective collaboration opportunities.