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.
Blog posts
2023
2022
A Lasting Legacy in Math and Science
Published:
Blog, see pages 6-7 on how my parents inspired my love of math and science.
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.
2021
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.
2019
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.
2018
Meeting showcases women in data science
Published:
Blog: Selected interview at the Women in Data Science (WiDS) conference at Stanford University.
2016
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.