About
The tools we use to assess mental performance and readiness haven’t fundamentally changed in decades. Clinical sleep scoring and HRV standards are 50 years old despite persistent issues. Readiness evaluations pass people who later fail. And the gap between what the science knows and what practitioners can actually use remains vast.
Dr. Shashaank Vattikuti MD, MS set out to close that gap.
Trained as a physician and drawn to the quantitative foundations of brain science, Dr. Vattikuti joined the (US) National Institutes of Health historic Mathematical Biology Group rather than clinical practice — to build the mechanistic models the field was missing. There he developed biophysical foundations for cognition and mental illness, work that helped establish the emerging fields of Computational Psychiatry & Neurology. The principle guiding that work — and every project since: build the right framework, and machine learning finds predictive signals that others miss. That insight drove his advances across computational neuroscience, genomics, population modeling, and ultimately the field he returned to: sleep, fatigue, and human performance.
He was recruited to WRAIR — the U.S. Army’s premier sleep research group whose fatigue science and operational tools have been adopted across military, aviation, trucking, NASA, and professional sports — specifically to solve a fundamental problem: clinical sleep scoring had no predictive value for the performance models the field depended on. Applying the same approach, he developed sleep measures and models that do.
TrekMH is the continued application of that principle — field-deployable tools built on Dr. Vattikuti’s two decades of work spanning computational neuroscience, AI/ML, and population modeling, translated into actionable readiness guidance for the people and organizations that need it most.