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Founder · Physician · Mathematician

Alexandra Bernadotte

MD · PhD · Mathematician · Inventor · Deep-tech founder
Building technology for the programmable brain

I build systems at the intersection of neuroscience, AI, medical robotics and human enhancement — connecting measurement of the brain with intervention, and verifying the individual response.

Portrait of Alexandra Bernadotte against a neural-signal field
Alexandra BernadotteFounder & Scientist

I am a physician, mathematician, AI researcher and neurotechnology founder. My work focuses on brain–computer interfaces, programmable neuroplasticity, medical robotics, brain imaging and AI-native discovery of cognitive interventions.

I have authored 40+ scientific papers, developed 7+ patents, and built and led an interdisciplinary R&D team of 50+ engineers, scientists, physicians and product specialists. Previously I co-founded and helped build a Swedish technology company that received an independent valuation range of $200M–$1B. Currently I am building Adapta — a full-stack platform combining BCI devices, personalized brain models, neuroplasticity programs and continuous measurement of brain response.

Key facts

By the numbers.

A track record across science, engineering, clinical practice and company-building.

40+

Scientific papers authored

7+

Patents and patent applications

50+

Engineers, scientists, clinicians and product specialists led

$200M–$1B

Valuation range of a previous startup I co-founded and led as CEO

20+

Paying BCI customers

12/12

Participants with measurable regional cortical-thickness increases in an exploratory longitudinal study

What I build

Across the full stack of the brain.

From dry-electrode hardware to AI-native discovery — measurement connected to intervention.

Brain–Computer Interfaces

Non-invasive EEG systems

Proprietary dry-gold-electrode systems with real-time acquisition, wireless connectivity and personalized neurofeedback — commercial products used by paying customers for monitoring, research and neuroplasticity programs.

Programmable Neuroplasticity

Measure, then change the brain

Combining MRI, EEG, cognitive tests, genetics, epigenetics, biochemistry and behavioral data to design and verify individualized interventions — and measure whether they actually change the individual brain.

Medical Robotics

Endovascular neurosurgery

An endovascular robotic neurosurgery system and its AI-assisted navigation stack: vascular imaging pipelines, datasets, and VeNet — a lightweight network for brain-vessel segmentation.

AI-Native Discovery

Compounds & formulations

Systems for computational screening and experimental validation of compounds and pro-cognitive formulations, linking biological activity with measurable cognitive and brain-response data.

Personalized BCI Software

Adaptive, online, real-time

Adaptive EEG algorithms, real-time signal-processing pipelines and online personalization methods for individual brain-signal models.

Current company

Adapta.

Full-stack neurotechnology for programmable neuroplasticity.

Adapta is being formed in the United States through the consolidation of technology and operations developed by NeuroSputnik and Nimbus BCI. It brings the whole loop under one roof:

Proprietary BCI devicesHyperCortex softwareMultimodal brain & biological assessments Individualized EEG modelsPersonalized neuroplasticity programs Pro-cognitive formulationsContinuous brain-response verification
01

Measure

02

Personalize

03

Intervene

04

Verify

05

Adapt

Selected work

Publications & systems.

A selection across BCI, medical robotics and AI-native pharma. Full portfolio on the research site.

Brain–Computer Interfaces

01
Brain Oscillator Intrinsic Dimension Marks Consciousness, Recovery Mode, and Failed Downshifting in Comaresearch

Introduces BOID, an interpretable measure of active oscillatory degrees of freedom in brain activity. A multimodal prognostic model with BOID reached AUC 0.81 in 575 post-cardiac-arrest patients.

02
Estimating the Number of Sources in EEG with Hankel EmbeddingsIEEE

A lightweight mathematical method for estimating the number of active oscillatory components in non-invasive EEG recordings.

03
A Lightweight Hankel-Embedded Pipeline for Real-Time EEG Filtering and ClassificationIEEE

A resource-efficient pipeline combining Hankel-based signal processing with real-time classification for edge BCI systems.

04
Topology-Driven Classification of Time Seriespreprint

A geometric framework connecting the observable topology of time series with the structure of the dynamical systems that generate them.

05
Proprietary BCI systems and algorithms

Non-invasive EEG hardware, personalized signal-processing pipelines, real-time mental-command recognition, closed-loop neurofeedback and adaptive BCI software.

Medical Robotics

01
VeNet: A Lightweight Neural Network for Brain Vessel SegmentationSci. Reports

A compact 3D segmentation architecture for brain-vessel imaging, surgical planning and endovascular robotic-surgery workflows.

02
Brain Vessel MRA DatasetSci. Data

100 expert-validated, manually annotated cerebral MRA volumes focused on the Circle of Willis, reviewed by three neurovascular surgeons.

03
LevshAI: Intelligent Robotic Motion-Copying System for Endovascular NeurosurgeryIEEE

A robotic motion-copying platform for remote endovascular neurosurgery, combining haptic feedback with patient-specific preoperative simulation.

04
Personalized Vascular 3D Simulator for Endovascular NeurosurgeryIEEE

A patient-specific system that reconstructs cerebral vasculature from medical imaging for procedural planning and rehearsal.

05
Cyber Security for Remote Intelligent Surgical Robotic SystemsIEEE

A cybersecurity framework addressing communication failure, unauthorized control and other risks in time-critical remote robotic surgery.

AI-Native Pharma & Cognitive Interventions

01
In Silico Identification and Biochemical Characterization of the Human Dicarboxylate Clamp TPR Protein Interaction NetworkFEBS

A computational and experimental study combining in-silico discovery with biochemical validation of previously uncharacterized protein interactions.

02
AI-Native Compound Discovery

A proprietary platform for computational screening, prioritization and experimental validation of compounds and pro-cognitive formulations.

03
Personalized Pro-Cognitive Formulations

Individualized cognitive-intervention programs combining biological profiling, AI-guided formulation design, cognitive testing and repeated measurement of response.

04
Closed-Loop Cognitive Intervention Research

Exploratory studies of how personalized interventions affect cognitive performance, EEG markers, structural brain measurements and longitudinal brain-age estimates.

Founder story

Why I work on the brain.

I started in mathematics and medicine because I wanted to understand complex biological systems rigorously. Over time, I realized that measuring the brain was not enough: the real challenge was to connect measurement with intervention and verify the individual response. This required building across disciplines — electronics, signal processing, AI, medical imaging, biology, robotics and product development.

My long-term goal is to make brain adaptation measurable, personal and eventually programmable.

Recognition

Awards & honors.

Intel AI Competition — grant2022
Beeline AI Awards for Startups — Top 102024
Samsung Neural Networks Competition — 3rd place2019
MSU Awards in Mathematics2018 & 2019
Huawei Scholarship Awards in Mathematics2018 & 2019
Collaborate

Let’s build the future of the human brain.

Open to researchers, clinicians, investors and founders in neurotech, AI, brain longevity, medical robotics and human–AI systems.

Also on LinkedIn · Google Scholar · ORCID