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Join 100+ innovators from 3+ countries for 48 hours of hacking, learning, and building the next generation of neurotechnology.
Global NeuroHack 2026 brings together the brightest minds in neuroscience, engineering, and design to create groundbreaking brain-computer interfaces.
NeuroHack is the world's largest neurotechnology hackathon, where participants collaborate to build innovative solutions using EEG devices, neural networks, and cutting-edge BCI technology.
Students, researchers, developers, designers, and anyone passionate about neurotechnology. No prior neurotech experience required – just curiosity and creativity!
Form teams of 4-5 people, build your project in 48 hours, and present to industry judges for a chance to win amazing prizes.
Network with industry leaders, learn from experts, access premium hardware and APIs, and potentially launch your neurotech startup!
Select from three tracks designed to foster innovation and collaboration in neurotechnology.
An invitation for participants to prototype transformative ideas across the neurotech space.
Decode thoughts into words by building a brain-computer interface that translates EEG or fNIRS signals into speech. Handle real-world constraints: noise, calibration, and generalization. A narrow, solid demo beats an ambitious claim - be honest about what your system does.
Design the fastest BCI game by building a decoder from mock neural data and creating a game judges can master in seconds. Maximize both speed and accuracy. State-of-the-art implanted BCIs reach 8.6 bps; your challenge is to beat the EEG benchmark of 0.1-0.4 bps.
Three days packed with hacking, workshops, mentorship, and networking opportunities.
Participants arrive and check in
Hackathon overview and intro speeches
Teams choose their track and receive necessary hardware
Teams begin working on their projects
Teams continue working on their projects, day and night!
Breakfast, lunch, and dinner are provided.
Sponsors run workshops and host booths.
Participants can check-in with mentors whenever necessary.
Teams submit their final products
Teams present their projects to a panel of judges
Winners announced and prizes awarded
Participants and sponsors celebrate a hackathon well done!
Thank you to our sponsors for making this event possible!
NeurotechX has been instrumental in helping us organize the event and keeping the experience moving from start to finish.
Our title sponsors are helping shape the event experience and support the core hackathon programming.
Our gold sponsors are supporting the hackathon with resources, visibility, and direct event engagement.
Industry leaders and researchers evaluating projects for innovation, technical depth, and real-world impact.
Analyst at e184
Researcher and entrepreneur with expertise in neural interfaces and BCI signal processing. Sofia brings deep technical knowledge of neural encoding/decoding algorithms and experience translating academic research into commercial applications. Passionate about making neurotechnology accessible to diverse users.
Director of Open-Source Business Strategy, Openwater
Director of Open-Source Business Strategy at Openwater. Brings open-source platform expertise and medical device innovation experience. Previously at Canon Medical, he built cloud-native AI analytics platforms processing data from over 2 million patients across AWS and Azure. Leadership background in enterprise Linux strategy and platform engineering.
Director of Product Management, Openwater
Director of Product Management at Openwater. Entrepreneurial leader commercializing innovative technologies since 2008, with focus on imaging and medical device platforms. Previously launched the world's first single-sided MRI for office-based targeted interventions and grew sales to over $115M in three years. B.S. in Engineering Physics from McMaster University, M.S. in Electrical and Computer Engineering from University of Western Ontario.
Adjunct Professor, UCSF
Neurotechnology expert and innovator with deep expertise in neural signal processing and brain-computer interface design. Focused on bridging the gap between research and real-world applications in neurotechnology. Experienced in evaluating technical solutions and commercial potential of neurotech projects.
Electrical engineer at Tacit
Technical expert in neurotechnology and neural engineering with experience across hardware, firmware, and signal processing. Known for evaluating technical feasibility, code quality, and scalability of neurotech solutions. Passionate about fostering innovation in the neurotech startup ecosystem.
Senior Technical Writer, Science
Senior Technical Writer at Science Corporation. Former engineer with deep technical expertise in neural interfaces and BCI systems. Specializes in making complex neural engineering concepts legible and evaluating the clarity and quality of technical presentations. Expertise in regulatory and technical documentation for implantable devices.
Firmware Engineer, Science
Firmware Engineer at Science Corporation. Leads FPGA and firmware development for next-generation neural devices. Deep expertise in computer architecture, high-reliability embedded systems, and high-speed protocols (AXI, SPI, I²C, PCIe). Evaluates firmware quality, embedded systems design, and reliability of BCI solutions.
Director of BCI Research, Science
Neuroscientist and BCI researcher with expertise in neural decoding and game-based brain-computer interfaces. Strong background in evaluating scientific rigor, methodology, and the quality of neural signal processing implementations. Focused on assessing both the technical performance and user experience of interactive BCI systems.
Neuroengineer, Science
Neural engineering specialist with experience in practical BCI implementation and real-world testing. Expertise in evaluating the technical feasibility of neural interfaces, code quality, and the engineering challenges of building reliable brain-computer interfaces. Known for assessing project scope and execution quality.
Director, Neurotech Collider Lab
Neurotech industry veteran with extensive experience in neurotechnology commercialization and product development. Deep understanding of market dynamics, regulatory pathways, and the journey from prototype to clinical product. Evaluates scalability, market viability, and realistic commercialization potential of neurotechnology solutions.
Professor, Santa Clara University
Julia Scott is a professor at Santa Clara University specializing in neuroengineering and human-centered biomedical systems, where she mentors students in building brain-computer interfaces and wearable neural sensing technologies. Her research and teaching bridge signal processing, embedded systems, and ethical design to translate neuroscience into practical tools for health, accessibility, and next-gen human-machine interaction.
Neuroscientist, Neuralink
Neuroscientist at Neuralink working on research and scientific foundations for human BCI programs. PhD-level expertise in neuroscience with deep knowledge of neural recording, signal analysis, and brain physiology. Evaluates scientific rigor, methodology, and appropriateness of validation approaches in BCI research.
Neurosurgeon, Neuralink
Neurotech entrepreneur and researcher with expertise in neural systems and BCI architecture. Known for evaluating the scientific soundness and technical innovation of neurotechnology projects. Brings perspective from both academic research and industry application of neural interfaces.
CEO of Go Go Gaia
Neurotechnology strategist with experience in evaluating commercial viability and market positioning of neurotech solutions. Expertise in identifying customer needs, market opportunities, and realistic paths to commercialization. Focused on assessing the business potential and scalability of neurotechnology innovations.
Founding Designer, Orbit
Founding Designer at Orbit. Brings several years of experience at LivaNova leading design for software and hardware in neuromodulation. Deep expertise in UX/UI, product design, and the full spectrum of software and hardware design for medical and consumer neurotechnology. Evaluates presentation quality, user experience, and design excellence.
CTO @ Orbit Neuro
CTO at Orbit Neuro. Specializes in electronics for sensing, embedded systems, rapid prototyping, and non-invasive brain imaging systems. Brings end-to-end hardware expertise from schematic design through firmware to system integration. Focused on evaluating technical feasibility, execution quality, and manufacturability of neurotech hardware solutions.
Access expert mentorship from 24 industry leaders in neural engineering, BCIs, and neurotechnology. Hands-on guidance throughout the weekend.
Electrical Engineer, Science
Designs low-power, high-bandwidth implantable electronics for neural interfaces. Published in New England Journal of Medicine.
Electrical Engineer, Science Corporation
Hardware for cutting-edge neural interfaces. Founded Neurotech@Berkeley with 120+ undergrads building BCI devices.
Software Engineer, Science
PhD in theoretical computer science. Mathematical rigor applied to reliable BCI systems and device software.
Ultrasound Engineer, Merge Labs
Ultrasound physics, electrical engineering, and computational modeling for non-invasive brain-computer interfaces.
ML & Neuro @ Merge Labs
Machine learning and neuroscience. Signal processing, neural decoding, and BCI data pipeline methods.
Operations, Merge Labs
Strategy and finance for neurotechnology. Go-to-market and financial planning expertise.
Founding EE, Orbit Neuro
Sensing hardware and electronics/physical world interface expertise. Sr. Staff Research Scientist at Fitbit/Google, Apple touch sensors.
Neuroscientist/Study Director Neuralink
Oversees research studies at the frontier of human brain-computer interfaces. PhD in Neuroscience, neural recording and decoding expertise.
Engineer, Precision Neuroscience
Microfabrication and neural engineering. Micro-scale devices for neural interfaces and electrode arrays.
Research Affiliate, MIT Media Lab
Neural decoding, multimodal AI, and affective computing. Software systems integrating neural data with other modalities.
Co-Founder, Netholabs
Machine learning and behavior. ML methods for understanding and modeling behavioral data in neurotechnology.
Founder & Builder, Dberi
Self-taught builder who has built robots, full-body haptic VR suits, and STM32 dev boards. SF software engineering experience.
VP at Adraxe
Clinical strategy, regulatory affairs, and commercialization. FDA regulatory strategy, clinical trials, and market positioning.
Founder, KozAI
Neural simulation and prediction. Computational tools for modeling brain dynamics and forecasting neural system behavior.
Everything you need to know about Global NeuroHack 2026.
A hackathon is an event where participants collaborate intensively to create software or hardware projects within a limited time frame. At NeuroHack, you'll have 48 hours to build innovative neurotechnology solutions.
No! NeuroHack welcomes participants of all skill levels. We provide mentorship and resources to help beginners get started. Curiosity and willingness to learn are the only requirements!
Teams will have 4-5 members. You can register with a pre-formed team or find teammates during our team formation session on Day 1. We also have a Discord channel for finding teammates before the event.
TBD
Global NeuroHack 2026 is an in-person event taking place at Frontier Tower in San Francisco, California. Join us for three days of hacking, networking, and innovation in the heart of the tech capital!
NeuroHack is completely FREE to attend! We believe in making neurotechnology accessible to everyone. All meals, snacks, and swag are provided for in-person attendees.
You do! All intellectual property created during the hackathon belongs entirely to you and your team. We encourage open-source projects but it's not required.
Projects are judged on Innovation (25%), Technical Complexity (25%), Impact (25%), and Presentation (25%). Judges include industry experts, researchers, and entrepreneurs in the neurotech space.