Dmitry Krotov
Cambridge, Massachusetts, United States
Summary
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SeniorDmitry Krotov is a physicist turned AI researcher focused on the computational properties of neural networks and the intersection of neuroscience with machine learning. He is a Research Staff Member at the MIT-IBM Watson AI Lab and IBM Research in Cambridge, MA, applying physics-inspired thinking to neural architectures and learning dynamics. His work explores implementing neurobiological ideas in modern AI systems and examines the relationship between associative memory models and deep learning. He earned a PhD in Physics from Princeton University in 2014 and has spent time at the Institute for Advanced Study before joining IBM in 2018, bringing eight years of experience. Based in Cambridge, he bridges theoretical insights with practical, scalable AI research across academic and industrial ecosystems.
8 years of coding experience
Github Skills (8)
mnist9
associative6
machine-learning5
deep-learning3
neuroscience2
pytorch2
neural-networks1
human-activity-recognition1
Programming languages (1)
Github contributions (5)
DimaKrotov/Train_Alg_VGG_2_layer
Aug 2017 - Dec 2017
Contributions:3 pushes in 3 months
DimaKrotov/Dense_Associative_Memory
Feb 2019 - Feb 2019
Example of Dense Associative Memory training on MNIST
Contributions:6 commits in 1 day
pytorchmemorydeep-learningassociative-memorymachine-learning
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