Delaney Miller

Robotics & Controls Engineer

About

I am a mechanical engineer with expertise in human-robot interaction. As a Systems Analyst at Intuitive Surgical, I work on minimally invasive surgical robots. I completed my PhD at Stanford University where I researched exoskeleton control strategies to assist human locomotion and developed musculoskeletal simulations to estimate joint loading. My technical interests include control systems, robotics, dynamics, optimization, software development, biomechanics, mechatronics, and machine learning.Interested in chatting? Get in touch!

Curriculum vitae

For a copy of my CV or more details on my experiences, please reach out!

Employment History

  • Systems Analyst, Intuitive Surgical (2025-present)

Education

  • PhD, Mechanical Engineering, Stanford University (2018-2025)

  • MSE, Mechanical Engineering, Stanford University (2018-2020)

  • BSE, Mechanical Engineering, Princeton University (2014-2018)

Publications

  • Miller, D.E., Tan, G.R., Farina, E.M., Sheets-Singer, A., & Collins, S.H. (2022). Characterizing the relationship between peak assistance torque and metabolic cost reduction during running with ankle exoskeletons. Journal of NeuroEngineering and Rehabilitation. Link

  • Miller, D.E., Brown, A.E., Bianco, N.A., Bhise, R., Delp, S.L., & Collins, S.H. (2025). How peak knee loads are affected by changing the mass of lower-limb body segments during walking. PLOS Computational Biology. Link

  • Miller, D.E., Brown, A.E., Bianco, N.A., Bhise, R., Delp, S.L., & Collins, S.H. (2025). A Data-Driven Approach to Estimate Changes in Peak Knee Contact Force With Exoskeleton Assistance. IEEE Transactions on Neural Systems & Rehabilitation Engineering. Link

  • Miller, D.E., (2025). Understanding the effects of exoskeletons on human mobility outcomes. Doctoral dissertation, Stanford University. Link

Honors and Awards

  • Class of 1916 Cup, Princeton University

  • Stanford Graduate Fellowship, Stanford University

  • Bio-X Fellowship, Stanford University

Research Experience

  • Graduate Research Assistant, Stanford Biomechatronics Laboratory (PI: Steven Collins) and Neuromuscular Biomechanics Laboratory (PI: Scott Delp)

  • Engineering Intern, Shirley Ryan AbilityLab

  • Undergraduate Research Assistant, Princeton Complex Fluids Lab (PI: Howard Stone)

  • Drug Discovery Intern, Ionis Pharmaceuticals

Mentorship & Teaching Experience

  • Teaching assistant for ME281: Biomechanics of Movement, Stanford University

  • Head Community Associate, Stanford University

  • Graduate Pathways to STEM Mentor, Stanford University

  • SAT/ACT Instructor, Honors Review, Plainsboro, NJ

  • Residential College Advisor, Princeton University

Skills

  • Technical expertise: Controls, robotics, multi-body dynamics, mechatronics, biomechanics, machine learning, optimization, statistics

  • Programming languages: C/C++, Python, MATLAB/Simulink, Java, R

Get in Touch