Iretiayo Akinola is a robotics research scientist with 11 years of experience spanning robotic manipulation, tactile sensing, reinforcement learning, and human-in-the-loop methods. Currently at NVIDIA and a PhD candidate at Columbia Robotics Lab, she focuses on accelerating simulators and building sim-to-reality techniques that bridge policies from simulation to physical robots. Her background blends academic rigor (Columbia PhD work, TA experience) with industry research internships at Autodesk and IBM, giving her a practical bent on deployable robot learning systems. Early career experience in seismic acquisition and electrical engineering training adds a systems-level perspective uncommon among robot-learning researchers.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science (BSc), Electrical and Electronics Engineering, Bachelor of Science (BSc), Electrical and Electronics Engineering at OAU,Ife
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Columbia University in the City of New York
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Columbia University
Master of Science (MS), Electrical Engineering, Master of Science (MS), Electrical Engineering at Stanford University
Contributions:26 pushes, 4 branches in 4 years 2 months
roboticsros2rosgraspitros-interface
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Iretiayo Akinola - Robotics Research Scientist at NVIDIA