Shima Alizadeh

Shima Alizadeh is an Applied Scientist at Amazon Web Services (AWS) AI Labs, specializing in machine learning problems related to scientific computing and artificial intelligence.3 She has a strong background in High Performance Computing (HPC) and is passionate about applying AI to scientific domains.2

Education and Expertise

Shima holds a Ph.D. in Mechanical Engineering and has pursued her education at Stanford University.2 Her areas of expertise include:

• Machine Learning
• Artificial Intelligence
• Deep Learning
• Mathematical modeling

Professional Experience

Prior to joining AWS, Shima gained experience at Adobe.4 She has been working at Amazon Web Services since May 2021.5 In her current role, she focuses on:

• AI for Scientific Computing
• Personalization
• Diverse machine learning problems

Research and Contributions

Shima is actively involved in cutting-edge research in the field of scientific machine learning. She has contributed to papers presented at prestigious conferences such as the International Conference on Machine Learning (ICML) and the International Conference on Learning Representations (ICLR).1 Her work includes:

• Developing physics-constrained machine learning models for scientific computing
• Collaborating on projects that incorporate physical constraints into deep learning models
• Contributing to research on enforcing conservation laws and boundary conditions in PDE solutions

Shima's research aims to improve the accuracy and efficiency of machine learning models in scientific applications, potentially transforming fields like aerodynamics, ocean and climate modeling, and reservoir modeling.1