About Dr. Andrej Savic

I am a neurotechnology researcher and consultant with 16 years of experience at the intersection of engineering, AI, neuroscience, and clinical medicine.

My core expertise is in brain-computer interfaces (BCIs) — systems that translate brain activity into commands for external devices. I have designed, built, and clinically tested BCI systems for motor and sensory rehabilitation after stroke, assistive communication for patients with amyotrophic lateral sclerosis (ALS), and cognitive workload monitoring in industrial settings.

My work combines deep EEG signal processing expertise with modern AI and machine learning methods. I develop real-time algorithms for detecting motor intention, classifying cognitive states, and tracking somatosensory processing — using approaches that range from classical signal processing to deep learning and neural data classification techniques that are at the forefront of the current AI-neurotech convergence.

What makes my approach distinct is the emphasis on clinical translation. I don't just develop algorithms — I test them with real patients, in real clinical settings, through rigorous clinical trials. In a field that is rapidly moving from experimental setups toward regulated clinical programs, this end-to-end perspective — from signal to system to clinical outcome — is what I bring to every consulting engagement.