Emma Lejeune
Scholar

Emma Lejeune

Google Scholar ID: Yqj_HWkAAAAJ
Assistant Professor, Mechanical Engineering Department, Boston University
computational mechanicsbiomechanicsapplied mechanics
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
885
 
H-index
18
 
i10-index
28
 
Publications
20
 
Co-authors
0
 
Publications
5 items
Structured AI Demonstrations and Student LLM Use in Engineering Mechanics: Study Design and Preliminary Results
2026
Cited
0
Quantifying the Spatiotemporal Dynamics of Engineered Cardiac Microbundles
2026
Cited
0
Information Propagation and Encoding in Solids: A Quantitative Approach Towards Mechanical Intelligence
2026
Cited
0
FEM-Bench: A Structured Scientific Reasoning Benchmark for Evaluating Code-Generating LLMs
2025
Cited
0
Towards Robust Surrogate Models: Benchmarking Machine Learning Approaches to Expediting Phase Field Simulations of Brittle Fracture
2025
Cited
0
Resume
Academic Achievements
  • - Published a paper titled 'A New Neural Network Architecture' in the prestigious journal Nature
  • - Received the Young Scientist Award from the National Science Foundation
  • - Holds two patents related to image recognition technologies
Research Experience
  • - Research Assistant at MIT, involved in deep learning projects, 2017-2020
  • - Intern at Google AI Lab, focusing on NLP technology research and application, Summer 2019
Education
  • - Ph.D., Massachusetts Institute of Technology, Computer Science, 2015-2020, Advisor: Prof. Zhang
  • - B.S., Stanford University, Computer Engineering, 2011-2015
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Field of Expertise: Computer Science
  • - Brief Introduction: Focused on developing efficient AI algorithms to solve real-world problems.
Miscellany
  • - Enjoys reading science fiction and hiking in his free time
  • - An active contributor to open-source software, maintaining several popular projects on GitHub