Exercise physiologist, researcher across three scientific fields, and educator with 24 years of classroom experience — including a decade designing standardized assessments. I built Engram Kinetics because the way we prepare for clinical certification exams is broken, and I've spent my career on both sides of that problem.
From the lab to the platform
I looked for the prep I needed. It didn't exist.
After completing my M.Sc. in Kinesiology at the University of Lausanne — with a thesis on inspiratory muscle training in normoxic and hypoxic conditions — I began preparing for the ACSM Certified Exercise Physiologist exam. I'd spent two years in a research lab, running exercise tests and interpreting physiological data. I knew the science.
What I discovered was that every prep resource on the market did the same thing: quiz you on what you've read. Flashcards. Random question banks. Summarized textbook chapters. None of them trained the actual skill the exam tests — the ability to look at clinical data, filter out the noise, and make the right call.
Twenty-four years of teaching mathematics and science had taught me something about how people learn. They don't learn by memorizing answers. They learn by making decisions, getting them wrong for specific reasons, and understanding why. So I built the tool I wished existed.
Train the decisions. Not just the content.
Engram Kinetics doesn't replicate textbooks. It trains the decisions candidates are expected to make from those textbooks. Every drill — what we call an Engram — puts you in a realistic clinical scenario and forces you to decide: Is this test valid? Is this response normal? Should you refer, modify, or proceed?
Each wrong answer maps to a named cognitive error — tunnel vision, normalization bias, overinterpretation, directionality confusion. You don't just learn that you got it wrong. You learn how your reasoning went off track, so you can catch the pattern before the exam does.
This isn't a new idea. It's how pilots, physicians, and military officers have been trained for decades. Engram Kinetics brings that same decision-training methodology to exercise physiology certification.
Three careers, one thread
My path here wasn't linear. A Ph.D. at EPFL in computational geosciences — learning to model complex systems in three dimensions. Twenty-four years teaching mathematics and science in Swiss secondary schools, including heading the math department, designing canton-wide standardized assessments for over a decade, and earning a master's in education focused on pedagogy and assessment design.
Then a career pivot into exercise physiology: a B.Sc. and M.Sc. in Kinesiology at the University of Lausanne, with a thesis on inspiratory muscle training that involved 200+ lab sessions — VO₂max testing, spirometry, NIRS, PhysioFlow, lactate sampling — across roughly fifty athletes. Research presented at the 2025 International Hypoxia Symposium in Banff.
What connects all of it is the same question: how do you take complex systems and make them learnable? Three research fields, three master's degrees — the subject changes, but the core skill doesn't. You build understanding through structured decisions, not through passive reading. That's what this platform does.
How the content is built and verified
Every scenario, every threshold, every clinical decision in Engram Kinetics goes through a multi-layer verification process. No shortcuts, no guesswork.
ACSM Source-Grounded
All content is built from the official ACSM Guidelines for Exercise Testing and Prescription (12th ed.) and the ACSM Resources for the Exercise Physiologist. No third-party summaries.
Multi-Source Verification
Every clinical scenario is cross-checked against source documents for coherence, then validated against current literature for scientific accuracy.
Original Scenarios
No textbook content is reproduced. All clinical scenarios are original creations — scientifically accurate, but designed to train decision-making, not to test memorization.
Ready to train the decisions?
See how the Engram method works, or jump straight into the program.
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