Piyawat Lertvittayakumjorn
Research Scientist at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolPiyawat Lertvittayakumjorn is a research scientist at Google with a decade of experience at the intersection of AI research and production systems. He earned a PhD in Computing Research from Imperial College London, contributing to the CLArg group under Francesca Toni. His work centers on explainable AI, natural language processing, and human-AI collaboration, emphasizing safety and trustworthiness for real-world deployment. He holds a Master’s in Machine Learning with distinction from Imperial College London and a Bachelor’s in Computer Engineering from Chulalongkorn University. Based in Mountain View, California, his career spans roles from AWS intern to research fellow, showcasing a track record of turning rigorous research into scalable software.
11 years of coding experience
5 years of employment as a software developer
Master’s Degree with distinction, Computer Science (Machine Learning), Master’s Degree with distinction, Computer Science (Machine Learning) at Imperial College LondonBachelor’s Degree, Computer Engineering, 3.98, Bachelor’s Degree, Computer Engineering, 3.98 at Chulalongkorn University
English, Thai
Github Skills (19)
grasp10
google7
meta-learning7
interpretable-machine-learning7
natural-language-processing7
natural-language-understanding7
classification7
nlp7
theorem6
semantic6
multi-label-classification6
convolutional-neural-networks6
bert5
tensorflow5
text-classification5
Programming languages (4)
Github contributions (5)
plkumjorn/GrASP
Feb 2021 - Aug 2022
An implementation of GrASP (Shnarch et. al., 2017)
Contributions:62 commits, 1 PR, 33 pushes in 1 year 6 months
grasp
plkumjorn/CNNAnalysis
Aug 2019 - Oct 2020
Codes for the EMNLP 2019 paper -- "Human-grounded Evaluations of Explanation Methods for Text Classification" by Piyawat Lertvittayakumjorn and Francesca Toni
Contributions:27 commits, 5 PRs, 16 pushes in 1 year 2 months
nlpevaluationsexplanationtext-classificationconvolutional-neural-networks
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