Purnanand Elango
Research Scientist at Mitsubishi Electric Research Laboratories
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolPurnanand Elango is a research scientist specializing in optimization-based trajectory generation, sensing, and feedback control for space vehicles and robotic platforms, with a decade of experience spanning academic and industrial research. He holds a PhD in Aerospace Engineering from the University of Washington and dual degrees (BTech/MTech) from IIT Madras, where he graduated with a standout 9.73/10 GPA. Purnanand has combined deep academic work as a research assistant with hands-on internships and research roles at Mitsubishi Electric Research Laboratories and Amazon, now continuing at MERL in Cambridge. His work bridges theoretical control and practical implementation, often focusing on algorithms that enable reliable autonomous navigation in complex environments. Notably, he transitions smoothly between long-term PhD research and rapid industrial prototyping, making him effective at moving ideas from simulation to real systems.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering, Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering at University of WashingtonIndian Institute of Technology Madras
Github Skills (14)
constraint-satisfaction7
trajectory-generation7
sequential7
convex-optimization7
trajectory-optimization6
robotics6
motion-planning6
convex6
optimization6
model-predictive-control5
toolbox5
numerical-optimization5
autonomous-driving4
rocket3
Programming languages (4)
Github contributions (5)
purnanandelango/trajopt-util
Jan 2023 - Feb 2023
Utilities for Numerical Trajectory Optimization
Contributions:82 commits, 1 PR, 217 pushes in 26 days
convex-optimizationnumerical-optimization
UW-ACL/pipg-demo
Aug 2020 - Jun 2022
Contributions:40 commits, 40 pushes, 1 branch in 1 year 10 months
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