Nidhi Seethapathi

Nidhi is now an Assistant Professor at MIT BCS and EECS. Find more details on her lab page.


Current interests

Building predictive models of human movement with normative and data-driven approaches using nonlinear optimization, control theory, nonlinear dynamics, and machine learning.

Education and Academic Positions

Postdoctoral Researcher in Bioengineering and Neuroscience, University of Pennsylvania (2018 - Now)

PhD in Mechanical Engineering, The Ohio State University (2012 - 2018)

B. Tech in Mechanical Engineering, VJTI, Mumbai, India (2008 - 2012)


Brown, G. L.^ , Seethapathi, N.^ & Srinivasan, M. (2021). A unified energy-optimality criterion predicts human navigation paths and speeds. PNAS, 118.29. ^ equal contribution

Seethapathi, N. , Clarke, B. & Srinivasan, M. (2021). Exploration-based learning of a step to step controller predicts locomotor adaptation. bioRxiv preprint.

Lysenko, S. , Seethapathi, N. , Kording, K. P. & Johnson, M. J. (2020). Towards automated emotion classification of atypically and typically developing infants, To appear in 2020 8th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob).

Chambers, C. , Seethapathi, N. , Saluja, R. , Loeb, H. , Pierce, S. , Bogen, D. , Prosser, L. , Johnson, M. J. & Kording, K. P. (2019). Computer vision to automatically assess infant neuromotor risk. bioRxiv preprint, bioRxiv:756262.

Seethapathi, N. , Jain, A. & Srinivasan, M. (2019). Walking for short distances and turning in lower-limb amputees: a study in low-cost prosthesis users. arXiv preprint, arXiv:1909.03139.

Seethapathi, N. , Wang, S. , Saluja, R. , Blohm, G. , & Kording, K. P. (2019). Movement science needs different pose tracking algorithms. arXiv preprint, arXiv:1907.10226.

Seethapathi, N. & Srinivasan, M. (2019). Step-to-step variations in human running reveal how humans run without falling. eLife, e38371.

Seethapathi, N. & Srinivasan, M. (2015). The metabolic cost of changing walking speeds is significant, implies lower optimal speeds for shorter distances, and increases daily energy estimates. Biology Letters, 11.9: 20150486.