PEIHUA LAI
Summary
Innovative ML Engineer for developing cutting-edge colour solutions.
Overview
1
1
year of professional experience
Work History
Machine learning engineer(Colour specialist)
AMPHICO
London, United Kingdom
06.2024 - Current
- Contributed to the successful completion of major milestones in the UKRI-funded project 'Revolutionising Waterless Textile Dyeing through Optical Colour Mixing and Machine Learning Colour-recipe Prediction', delivering advanced solutions for waterless coloration technology.
- Designed and optimised colour prediction algorithm for the groundbreaking accuracy in colour management (colour difference less than 1 CIELAB unit).
- Leveraged AI techniques to facilitate understanding of trending colours and automatically generating brand-specific colour palettes.
- Facilitated cross-functional collaboration between technical teams and non-technical stakeholders, ensuring effective communication.
Postdoctoral researcher
University of Leeds
Leeds, United Kingdom
09.2023 - 05.2024
- Planed and led the psychophysical experiment for facial appearance modelling.
- Applied statistical modelling on data and developed the skin colour reproduction acceptable range.
Education
Doctor of Philosophy - Machine learning and colour
University of Leeds
Leeds 09/2019 - 07/2023
Master of Arts - Design
University of Leeds
Leeds 09/2018 - 06/2019
Bachelor of Arts - Psychology
Education University of Hong Kong
Hong Kong 09/2013 - 06/2017
Skills
- Data analysis, modelling and automation
- Portable code writer: MATLAB/Python
- User interface design principles
- Creative problem solving
- Complex problem-solving
Languages
Chinese (Mandarin)
Native
English
Fluent
PUBLIC PRESENTATION
Invited speaker, HKUST(GZ) Computational Media and Arts Seminar
The Hong Kong University of Science and Technology, Sep 2024
Title: Colour nowcasting: AI in fashion and beyond
Oral presenter, The 15th Congress of the International Colour Association
International Colour Association, Nov 2023
Title: Machine Learning in virtual fashion imaging analysis
Invited speaker, 10th China International Silk Conference
China silk association, Dec 2022 [Online event]
The 'Silk culture, fashion design & intelligent manufacturing' panel session
Invited speaker, BEYOND 2020
UK Research and Innovation, Nov 2020, [Online event]
Title: Data-driven colour forecasting in fashion
SELECTED PUBLICATION
[1] Lai, P ., Westland, S. and Booth, S.A., 2023. Pixel-based object
recognition in fashion images to generate colour palettes. International
Journal of Fashion Design, Technology and Education.
[2] Westland, S., Finlayson, G., Lai, P ., Pan, Q., Yang, J. and Chen, Y., 2024. A
computational method for predicting color palette discriminability. Color
Research & Application.
[3] Guo B, Westland S. and Lai P , 2023. Sentiment analysis based on
frequency of colour names on social media,Color research and
application, ISSN0361-2317.
[4] Lai, P. and Westland, S., 2020. Machine learning for colour palette
extraction from fashion runway images. International Journal of Fashion
Design, Technology and Education, 13(3), pp.334-340.
PATENT
Waterless-Colouration Textile (Patent Pending)
- Co-inventor
- Developed an optical colour-mixing technique using dope-dyed yarns to replace traditional water-intensive dyeing, reducing water usage.
Timeline
Machine learning engineer(Colour specialist)
AMPHICO
06.2024 - Current
Postdoctoral researcher
University of Leeds
09.2023 - 05.2024
Doctor of Philosophy - Machine learning and colour
University of Leeds
09/2019 - 07/2023
Master of Arts - Design
University of Leeds
09/2018 - 06/2019
Bachelor of Arts - Psychology
Education University of Hong Kong
09/2013 - 06/2017
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