Xuezi Hu
Crawley, UK |
About Me
Having graduated from Cambridge, I joined CGG where I had the opportunity to be exposed to machine learning in the seismic imaging domain. I quickly became proficient in developing and deploying deep neural network models for noise removal, image segmentation, and geological object detection. My expertise extends to researching the cutting-edge machine learning tools, including image segmentation and generative models, to solve problems in seismic processing, pioneering novel solutions to improve the runtime and produce better imaging products. Outside of work, I am a quick learner driven by a strong sense of curiosity and a passion for problem-solving. I seek to stay up-to-date with the latest advancements in machine learning and geophysics. During my leisure time, I find great pleasure in engaging in hobbies such as travelling, photography, painting, badminton and swimming.
Education
| Degree | Institute | Years of Passing | Percentage |
|---|---|---|---|
| Masters degree | University of Cambridge | 2020 | 70 % |
| Undergraduate | University of Cambridge | 2019 | 67 % |
Past Employer
| Experience | Employer Name | Designation | Location |
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