Meet SJND’s 30 Under 30: Young. Smart. Committed.
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Posts by Tags
30 under 30
CFD
Science in the Age of Foundation Models
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Featured perspective piece on how foundation models can be beneficial in scientific domains and their current limitations.
COVID-19 forecasting
Paper on forecasting spread of COVID-19 wins best-paper award
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Blog on our Best Paper Award at the Machine Learning and Public Health NeurIPS workshop in 2020.
COVID19 forecasting
How applied math impacts forecasting at Amazon
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Featured blog by Amazon Science on my research on our award-winning paper on COVID-19 forecasting, where I advised our summer PhD student intern Rui (Ray) Wang.
GluonTS
Creating neural time series models with Gluon Time Series
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Blog on the launch of our open-source library GluonTS for probabilistic time series forecasting.
ICME
MATLAB
Stanford Engineering Spotlight
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Stanford spotlight on my love of teaching mathematics and MATLAB for Advanced Scientific Computing for the ICME Summer Data Science workshops.
PDEs
Science in the Age of Foundation Models
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Featured perspective piece on how foundation models can be beneficial in scientific domains and their current limitations.
STEM
Meeting showcases women in data science
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Blog: Selected interview at the Women in Data Science (WiDS) conference at Stanford University.
Women in Data Science (WiDS)
Meeting showcases women in data science
Published:
Blog: Selected interview at the Women in Data Science (WiDS) conference at Stanford University.
best paper award
Paper on forecasting spread of COVID-19 wins best-paper award
Published:
Blog on our Best Paper Award at the Machine Learning and Public Health NeurIPS workshop in 2020.
computational mathematics
A Lasting Legacy in Math and Science
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Blog, see pages 6-7 on how my parents inspired my love of math and science.
foundation models
Science in the Age of Foundation Models
Published:
Featured perspective piece on how foundation models can be beneficial in scientific domains and their current limitations.
hybrid models
Paper on forecasting spread of COVID-19 wins best-paper award
Published:
Blog on our Best Paper Award at the Machine Learning and Public Health NeurIPS workshop in 2020.
machine learning for PDEs
Physics-constrained machine learning for scientific computing
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Featured blog by Amazon Science on the research efforts that I am leading on physics-constrained machine learning for scientific computing and computational sciences.
machine learning in public heath
A Lasting Legacy in Math and Science
Published:
Blog, see pages 6-7 on how my parents inspired my love of math and science.
Paper on forecasting spread of COVID-19 wins best-paper award
Published:
Blog on our Best Paper Award at the Machine Learning and Public Health NeurIPS workshop in 2020.
math
Stanford Engineering Spotlight
Published:
Stanford spotlight on my love of teaching mathematics and MATLAB for Advanced Scientific Computing for the ICME Summer Data Science workshops.
mathematics
How applied math impacts forecasting at Amazon
Published:
Featured blog by Amazon Science on my research on our award-winning paper on COVID-19 forecasting, where I advised our summer PhD student intern Rui (Ray) Wang.
numerical methods
Physics-constrained machine learning for scientific computing
Published:
Featured blog by Amazon Science on the research efforts that I am leading on physics-constrained machine learning for scientific computing and computational sciences.
probabilistic models
Creating neural time series models with Gluon Time Series
Published:
Blog on the launch of our open-source library GluonTS for probabilistic time series forecasting.
scientific computing
Stanford Engineering Spotlight
Published:
Stanford spotlight on my love of teaching mathematics and MATLAB for Advanced Scientific Computing for the ICME Summer Data Science workshops.
scientific machine learning
Science in the Age of Foundation Models
Published:
Featured perspective piece on how foundation models can be beneficial in scientific domains and their current limitations.
synthetic data generation
Mitra: Mixed synthetic priors for enhancing tabular foundation models
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Featured blog by Amazon Science on our tabular foundation model Mitra, which is trained purely on synthetic data and obtains state-of-the-art performance on classification and regression tasks. Mitra is available in AutoGluon 1.4, and we have also released the weights on HuggingFace. Find the Mitra classifier here and regressor here.
tabular foundation models
Mitra: Mixed synthetic priors for enhancing tabular foundation models
Published:
Featured blog by Amazon Science on our tabular foundation model Mitra, which is trained purely on synthetic data and obtains state-of-the-art performance on classification and regression tasks. Mitra is available in AutoGluon 1.4, and we have also released the weights on HuggingFace. Find the Mitra classifier here and regressor here.
time series forecasting
Creating neural time series models with Gluon Time Series
Published:
Blog on the launch of our open-source library GluonTS for probabilistic time series forecasting.