Movement-based behavioral learning for individuals, professionals, teams, and research collaborators.
The question behind the Method
Why is knowing what to do often not enough?
People may understand what would help them, yet lose access to that knowledge under stress, fatigue, cognitive overload, or social pressure.
Body Mind Method was developed to explore this gap.
Movement creates an immediate setting in which people can observe how they respond to difficulty, novelty, mistakes, uncertainty, and interaction—and practice alternative responses while the experience is happening.
The goal is not to perform the movement correctly. The goal is to notice a pattern, vary it, and examine whether another response becomes available.
What the Method looks like in practice
- I began to recognize the cognitive crash before it fully happened—and found a practical way to return to the task.Polina M., Software Engineer, Google
- Clearer thinking, more stable energy, and practical tools for cognitive fatigue. The effects felt distinct from yoga or strength training.Mark Clenow, Sr. Scientist
- I would arrive cognitively depleted and leave feeling clearer, fresher, and more connected to my body.Lyubomir U., Fractional Head of Strategic Partnerships
- A practical experience that helps you observe how you respond—and experiment with changing that response in real life.Hatice, Nurse
Research and evidence
Body Mind Method is grounded in behavioral science, embodied learning, movement practice, and years of real-world implementation.
Evidence to date is preliminary and includes participant self-report, qualitative feedback, teaching observations, exploratory measurement, and program-development data. These sources help generate hypotheses and refine the methodology; they do not yet establish clinical efficacy.
Current work focuses on questions such as:
- How can movement tasks make patterns of attention, tension, and response more observable?
- Can brief structured practices support recovery after cognitive load?
- Which outcomes can be measured reliably in real-world settings?
- How do cueing, context, and facilitator behavior influence participant experience and implementation?
- What helps people transfer an in-session experience into everyday behavior?
Yana is currently collaborating on the design of an IRB-submitted feasibility study with Northeastern University and is developing additional research and evaluation partnerships.
| Yana Nakhimova, Ph.D. Behavioral Scientist | Intervention Designer | Program Evaluator Yana Nakhimova is a behavioral scientist with more than ten years of experience across research, university teaching, health and behavior-change programs, curriculum development, facilitator training, and program evaluation. Her work examines a persistent behavior-change problem: people often know what would help them, yet struggle to act on that knowledge under stress, fatigue, cognitive load, or social pressure. Yana's doctoral research examined risk-related decision-making, and her postdoctoral work at the University of Wisconsin–Madison focused on physical activity, public health, and behavior change. Her broader work includes mixed-methods research, qualitative inquiry, intervention design, implementation, evidence translation, and the development of practical programs for diverse populations. She created Body Mind Method in 2017 as an applied setting for exploring how movement, attention, sensory awareness, and behavioral learning can help people observe and modify patterns of response. Since then, she has developed curricula and protocols, delivered programs across educational and professional settings, trained practitioners, collected participant feedback, and built research and evaluation collaborations around the methodology. Body Mind Method is one part of Yana’s broader work as a behavioral scientist, educator, and research-to-practice translator. |
- Ed Boyden, PhDScientific Advisor, MIT
- David MaltzBusiness Advisor, Founding Head of Product at Fareon
- John ZweigStrategic Advisor, Chairman at Neuro-Insight
- Maria V. Ruiz-Blondet, PhDNeuroscience & EEG Advisor, Senior Research Engineer
- Vineet SinhaTechnology Advisor, Data & AI Specialist, Co-Founder & CTO, Cone Technologies
