Bo Lei
AI ML Engineer at Seagate Technology
Fremont, California, United States
Summary
👤
Senior🎓
Top SchoolBo Lei is an AI/ML Engineer with eight years of experience applying deep learning, computer vision, graph neural networks and generative models to scientific and engineering problems. He has moved between top research and industrial labs—PhD-trained at Carnegie Mellon, postdoc work at Lawrence Livermore, and now building applied AI at Seagate—to accelerate fluid dynamics and solid mechanics simulations with graph transformers and surrogate models. His portfolio spans diffusion models for materials defects, large-scale microscopy vision pipelines, and multimodal LLMs, emphasizing production-ready, scalable AI pipelines for scientific computing. Notably, he blends foundational research with pragmatic deployment, routinely optimizing models to reduce simulation runtime while retaining physical fidelity. Based in Fremont, CA, he thrives on tackling complex modeling challenges that bridge materials science and high-performance engineering workflows.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Bachelor of Science - BS at Peking UniversityDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Carnegie Mellon University
Chinese, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
image-processing9
image-segmentation9
deep-learning7
pytorch6
autoencoder5
python3
machine-learning3
pde3
gaussian-processes2
segmentation2
classification2
electron1
Programming languages (4)
Github contributions (5)
lei-bo/MatSemiSeg
Apr 2022 - Apr 2026
Contributions:19 pushes, 1 branch in 4 years
lei-bo/MatSeg
May 2019 - Jun 2022
PyTorch implementation of deep learning models on materials microscopic image datasets
Contributions:59 commits, 43 pushes, 1 branch in 3 years 1 month
deep-learningpytorchimage-processingimage-segmentationmaterials-science
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