Vikrant Jaltare
Doctoral Candidate
San Diego, California, United States
Summary
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Senior🎓
Top SchoolVikrant Jaltare is a bioengineering PhD candidate at UC San Diego with eight years of research and engineering experience focused on translating brain microcircuit architectures and learning strategies into resource-efficient AI. Trained in electrical and electronics engineering, he combines computational neuroscience modeling, hands-on simulations, and experimental insight from projects on the molecular basis of memory to tackle decision-making problems relevant to healthcare and climate. Co-mentored by leaders in neuromorphic engineering and computational neurobiology, he bridges theory and engineering to design lightweight AI informed by biological principles. He also studies student perceptions in STEM to help design more equitable curricula, reflecting a rare blend of technical depth and educational equity interests. Off the bench, he describes himself as exploring our “3 lb universe,” signaling a curiosity-driven approach to both fundamental neuroscience and applied AI.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Technology, Electrical and Electronics Engineering, Bachelor of Technology, Electrical and Electronics Engineering at COEP Technological University
German, English, Marathi, HindiGithub contributions (5)
velocity098/Metaplasticity-Memory
May 2019 - Dec 2020
Contributions:35 commits, 34 pushes, 2 branches in 1 year 6 months
vjaltare/er_and_plasticity_in_ca1_spine
Dec 2021 - Jul 2023
Contributions:1 push, 1 branch in 1 year 6 months
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