Dr. Andrej Savic
Neurotechnology Consultant | Brain-Computer Interfaces | AI for Neural Data | Clinical Neurotechnology
Bringing neurotechnology to life.
Across research, healthcare, and industry.
I help companies, research teams, and clinics design, build, and clinically validate brain-computer interface systems and AI-powered neurotechnology solutions. 16 years at the intersection of EEG signal processing, machine learning, clinical trials, and real-time neural control.
16+ Years in Neurotechnology
Years in Neurotechnology
100+ Scientific Publications
Scientific Publications
6 Countries Collaborated
Countries Collaborated
Top 12 BCI Award 2024 Nominee (worldwide)
BCI Award 2024 Nominee (worldwide)
Expertise Where It Matters
Neurotech Companies
You're building a product that reads, processes, or responds to brain signals. I help you get the signal processing right, the algorithms validated, and the clinical evidence structured — so your technology actually works on real patients, not just in the lab.
Research Teams & Institutions
You need deep EEG/BCI expertise for your project but don't have it in-house. I bring 16 years of hands-on experience in experimental design, signal acquisition, data analysis, and publication-ready results.
Clinics & Rehabilitation Centers
You want to integrate neurotechnology into clinical practice — for stroke rehabilitation, assistive communication, or cognitive assessment. I help bridge the gap between the research literature and your clinical workflow.
Investors & Decision Makers
You're evaluating a neurotech investment or technology acquisition. I provide independent technical due diligence — assessing feasibility, scientific validity, and competitive positioning.
BCI Award 2024 Nominee
Selected among the top 12 projects worldwide (from 80+ candidates) for a novel brain-computer interface system for somatosensory rehabilitation after stroke — a completely new approach to sensory recovery using electrotactile stimulation controlled by brain signals.
Dr. Andrej Savic is a full research professor and Associate Editor of IEEE Transactions on Neural Systems and Rehabilitation Engineering — the leading journal in the field. He builds AI-powered brain-computer interface systems and takes them all the way to clinical validation with real patients. His work spans BCI design, EEG signal processing, machine learning for neural data, and clinical neurotechnology for stroke and ALS. He has led funded research projects, supervised PhD students, and collaborated with research groups across six countries.
Ready to talk neurotechnology?
Whether you have a specific project or want to explore possibilities, I am happy to have a conversation.
Book a Free Consultation Call