Prabaha Gangopadhyay
Doctoral Student at Yale University
New Haven, Connecticut, United States
Summary
👤
Senior🎓
Top SchoolPrabaha Gangopadhyay is a PhD candidate in neuroscience at Yale who builds quantitative predictive models to link neural signals to behavior, with a focus on how prefrontal cortex and amygdala coordinate during primate social gaze interactions. With 11 years of research experience spanning IISc and Harvard Medical School, they combine systems neuroscience, electrical engineering intuition for signal decomposition, and statistical machine learning to map extracellular potentials to specific social behaviors. Prabaha also consults on statistical analysis for humanities researchers and has taught neuroscience courses, highlighting an ability to communicate quantitative methods across disciplines. Their work uniquely blends visual perception and bioengineering roots—ranging from crumpled-surface shape inference to automated bioreactor design—with current investigations into information processing at population scales.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Biology, General, Master of Science - MS, Biology, General at Indian Institute of Science (IISc)Doctor of Philosophy - PhD, Psychology (Track: Neuroscience), Doctor of Philosophy - PhD, Psychology (Track: Neuroscience) at Yale UniversityHigh School Graduate, Basic Science (PCMB), High School Graduate, Basic Science (PCMB) at Delhi Public School, Ruby Park
English, Bengali, Hindi
Stackoverflow
889reputation
56kreached
4answers
11questions
Github Skills (30)
dropbox-api9
python8
machine-learning8
pytorch8
theano7
data-science7
tensorflow7
sdk7
deep-learning7
cli7
keras6
neural-network6
keras-layer6
anaconda6
command-line6
Programming languages (2)
Github contributions (5)
changlabneuro/mountainsort-plexon-pipeline
Feb 2021 - Mar 2021
Contributions:11 commits, 12 pushes in 1 month
gprabaha/naturalistic_social_gaze_mech
May 2024 - Mar 2025
Contributions:431 pushes, 2 branches in 10 months
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