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 develop control algorithms for minimally invasive surgical robotics. 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. I have a strong technical background in 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, 4.1 GPA, Stanford University (2018-2020)

  • BSE, Mechanical Engineering, 3.9 GPA, 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 with Simulink, Java, R

Get in Touch