Hi, I'm Max Shen.
I study how the nervous system learns chronic pain—and help people unlearn it.
Pain can be understood as a predictive signal, like hunger or fear. I am interested in using tools from active inference, phenomenology, and Bayesian statistics to characterize pain as a predictive signal. I also draw inspiration from Pain Reprocessing Therapy and Judith Blackstone's Realization Process, and Moshe Feldenkrais’ philosophy of the body for crafting practice techniques that can change the nature of the predictive signal.
In my academic life, I've been mentored by Professor Wang at the MIT McGovern Institute, and have worked with both the Moral Psychology Research Lab at Harvard, and the Computational Cognitive Science Lab at MIT.
My deep wish is to better understand and spread the knowledge and skills needed for resolving persistent pain.
I write at essays.debugyourpain.com.
You can find me on X/Twitter. Email: mxslk[at]mit.edu
Ongoing:
Past
Shen, Max. "Challenges facing the objective measurement of pain" OSF Preprint (2024).
Shen, Max, and Jozef Frucek. Beyond Biomechanics: Fighting Monkey and the Enactive Inference Approach to Health and Movement. OSF Preprint (2025).
"What might our minds be, if not computers?" Guest lecture, MIT 6.S094 Introduction to Computational Psychology, January 2025.
Works that have inspired me
Stilwell, Peter, and Katherine Harman. "An enactive approach to pain: beyond the biopsychosocial model." Phenomenology and the Cognitive Sciences 18.4 (2019): 637-665.
Sterling, Peter. What is health?: Allostasis and the evolution of human design. mit Press, 2020. and Sterling, Peter, and Simon Laughlin. Principles of neural design. MIT press, 2015.
Ashar, Yoni K., et al. "Effect of pain reprocessing therapy vs placebo and usual care for patients with chronic back pain: a randomized clinical trial." JAMA psychiatry 79.1 (2022): 13-23.