Shivam Goel
Researcher MULIP Lab at Tufts University
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolShivam Goel is a robotics researcher and PhD candidate at Tufts' MULIP Lab with a decade of experience building data-efficient, adaptive reinforcement learning systems that transfer from simulation to real robots. He designs neurosymbolic and hybrid learning pipelines that integrate learned policies with task-and-motion planning, force sensing, and classical robotics priors to enable robust on-the-fly adaptation under novelty and uncertainty. His work spans grid-world abstractions to large-scale simulators (MuJoCo, Isaac Sim) and real-world deployment via ROS/ROS2, emphasizing reproducibility and engineering-ready solutions. Shivam has led end-to-end systems validated on physical hardware with publications in AIJ, ICRA, and AAMAS, and focuses on reducing data needs through structured inductive biases. He is pragmatic about impact: methods must scale and work reliably on real robots to be considered complete. Based in Boston, he seeks research roles that blend close engineering collaboration with measurable real-world outcomes.
10 years of coding experience
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Tufts UniversityHigh School, High School at Methodist High SchoolMaster of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Washington State UniversityBachelor of Technology (B.Tech.) Information Technology, Bachelor of Technology (B.Tech.) Information Technology at Dr. A.P.J. Abdul Kalam Technical University
English, Hindi
Stackoverflow
1reputation
0reached
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Github Skills (25)
python8
deep-learning8
machine-learning8
tensorflow7
neural-network6
openai-gym6
ros5
multi-process5
deep-reinforcement-learning5
deep-neural-networks5
ml5
visualize5
robotics4
minigrid4
ai3
Programming languages (4)
Github contributions (5)
goelshivam1210/Bird_StereoVision
Feb 2017 - Feb 2025
Contributions:4 pushes, 1 branch in 8 years 1 month
goelshivam1210/locobot_learning
Sep 2023 - Feb 2026
Contributions:1 review, 50 pushes, 4 branches in 2 years 4 months
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