Meet SJND’s 30 Under 30: Young. Smart. Committed.
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Blog on our Best Paper Award at the Machine Learning and Public Health NeurIPS workshop in 2020.
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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.
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Blog on the launch of our open-source library GluonTS for probabilistic time series forecasting.
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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.
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Blog: Selected interview at the Women in Data Science (WiDS) conference at Stanford University.
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Blog: Selected interview at the Women in Data Science (WiDS) conference at Stanford University.
Published:
Blog on our Best Paper Award at the Machine Learning and Public Health NeurIPS workshop in 2020.
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Blog, see pages 6-7 on how my parents inspired my love of math and science.
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Blog on our Best Paper Award at the Machine Learning and Public Health NeurIPS workshop in 2020.
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.
Published:
Blog, see pages 6-7 on how my parents inspired my love of math and science.
Published:
Blog on our Best Paper Award at the Machine Learning and Public Health NeurIPS workshop in 2020.
Published:
Stanford spotlight on my love of teaching mathematics and MATLAB for Advanced Scientific Computing for the ICME Summer Data Science workshops.
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.
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.
Published:
Blog on the launch of our open-source library GluonTS for probabilistic time series forecasting.
Published:
Stanford spotlight on my love of teaching mathematics and MATLAB for Advanced Scientific Computing for the ICME Summer Data Science workshops.
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.
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.
Published:
Blog on the launch of our open-source library GluonTS for probabilistic time series forecasting.