Jyo Pari
PHD Student at Massachusetts Institute of Technology
Greater Boston United States
Summary
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Rockstar🎓
Top SchoolJyo Pari is a PhD student at MIT with a decade of research and engineering experience at the intersection of machine learning, robotics, and computational astrophysics. Their work focuses on architectures and optimization for continual learning under Prof. Pulkit Agrawal, building on prior research in imitation and reinforcement learning at NYU Courant where they coauthored three conference papers. They also developed image-localization techniques for infrared dark clouds at the Center for Astrophysics, demonstrating an ability to translate domain science problems into scalable computational solutions. Based in Greater Boston, Jyo blends strong theoretical training in math and CS with practical algorithm development and representation learning, and maintains a public research portfolio linked from their website. An uncommon strength is their cross-domain fluency—from telescope mosaics to real-time learning algorithms—enabling creative approaches to long-horizon learning and perception challenges.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Mathematics and Computer Science, Doctor of Philosophy - PhD Mathematics and Computer Science at Massachusetts Institute of TechnologyBachelor of Arts - BA Computer Science and Mathematics, Bachelor of Arts - BA Computer Science and Mathematics at New York University
Github Skills (17)
robotics10
drake8
code-intelligence7
spring6
generative-model5
machine-learning5
language-model5
adversarial-machine-learning4
fine-tuning3
tensorflow3
generative-adversarial-network3
google3
pytorch3
mavlink3
convolutional-neural-networks2
Programming languages (4)
Github contributions (5)
jyopari/VINN
Sep 2021 - Mar 2022
Contributions:54 commits, 52 pushes, 1 branch in 6 months
jyopari/IRDC
Aug 2019 - Jul 2023
Contributions:14 pushes, 1 branch in 3 years 11 months
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