Scholar
Lu Lu
Google Scholar ID: wD_wsWUAAAAJ
Assistant Professor of Statistics and Data Science, Yale University
Citations & Impact
Citations
23,117
H-index
37
i10-index
52
Publications
20
Co-authors
156
list available
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Published multiple new papers on arXiv regarding scientific machine learning.
- - Won the MIT Technology Review Innovators under 35 Asia Pacific award.
- - Published a paper in Nature Communications on one-shot learning for solution operators of partial differential equations.
- - Collaborated with several institutions to secure NSF DMS funding for developing a deep learning-enhanced multiphysics and multiscale framework for mechanistic modeling of erythrophagocytosis.
- - Received a generous gift from Factory Mutual Insurance Company to develop scientific machine learning models for fire.
- - Secured funding from ExxonMobil to predict hydraulic fracture propagation in unconventional reservoirs.
Research Experience
- Leading the Lu Group in research involving multiscale modeling and high performance computing; mentoring PhD, Master's, and undergraduate students in research projects.
Background
- Focused on scientific machine learning (SciML) and artificial intelligence for science (AI4Science), including theory, algorithms, software, and applications to engineering, physical, and biological problems.
Miscellany
- Welcomes applications from students with backgrounds in statistics, mathematics, physics, computer science, engineering, or related fields who have strong coding skills.
