Nicholas Monto
Senior Applied Scientist at Microsoft
Waltham, Massachusetts, United States
Summary
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Senior🎓
Top SchoolNicholas Monto is a Senior Applied Scientist with nine years of experience applying deep learning and Bayesian methods to human and machine perception of spoken and written language. He holds a PhD in Speech, Language, and Hearing Sciences from the University of Connecticut and has led research and production efforts at Microsoft and Nuance, translating psycholinguistic experimental protocols into robust LSTM and neural models. His work blends behavioral, computational, and neuroimaging techniques to study how input distributions reshape priors and hidden-unit representations, revealing subtle, “hidden” structure in language adaptation. Based in Waltham, MA, he pairs rigorous academic training with practical product-oriented research, often rebuilding pipelines and analysis code for reproducibility and efficiency. Notably, he brings hands-on experience managing small research teams and securing competitive funding collaborations, bridging lab science with industry-scale NLP applications.
9 years of coding experience
9 years of employment as a software developer
École PolytechniqueDoctor of Philosophy (PhD), Speech, Language, and Hearing Sciences, Doctor of Philosophy (PhD), Speech, Language, and Hearing Sciences at University of Connecticut
Github Skills (2)
optical-flow7
tensorflow3
Programming languages (1)
Github contributions (5)
nick-monto/Specs2text
Dec 2019 - Aug 2020
Contributions:15 commits, 7 pushes, 1 branch in 8 months
nick-monto/EARShot_TF2
Oct 2020 - Mar 2021
EARShot model on TensorFlow2.x
Contributions:20 PRs, 38 pushes in 4 months
tensorflowtensorflow2
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