Huikuan Chao
Materials Scientist @ Avery Dennison | Developing AI/In Silico Solutions for Materials | ex-Dow
- Role
- Materials Scientist at Avery Dennison
- Location
- Mentor, OH, US
- LinkedIn followers
- 500 followers
About Huikuan Chao
Driving AI/in Silico-powered polymer R&D with 6 years’ experience at Fortune 500 leaders Dow Chemical and Avery Dennison, creating high-impact polymer products->AI-Driven Materials Innovation – Applied machine learning and generative AI to transform pressure-sensitive adhesive (PSA), thermal interfacial material formulation (TIM), polyurethane (PU) foaming process, accelerate materials characterization and reducing R&D timelines; Employed AI/self-driving lab (SDL) to accelerate adhesive polymer discovery->Product Launch Success – Contributed to deliver multiple innovative PSA products to the North American and Northern Asia Pacific markets->Cross-Functional Collaboration – Partnered with R&D, manufacturing, and business teams to align technical breakthroughs with market needs->Technical Expertise – Strong foundation in polymer science, materials informatics, and data-driven product design from industrial practices and academic research roles.Passionate about using data science and digital technologies to boost product performance, streamline development, and create measurable business impact.
Experience
Materials Scientist
Aug 2023 — Present · Mentor, OH, US
Developed physics-informed machine learning platforms to accelerate hot-melt and acrylic-based PSA design/formulation-Partnered with functional groups across Avery Dennison (analytical, regional product teams) to designed/delivered multiple new PSA products in both North American and Northern Asia Pacific markets-Championed in internalization and application of Google Cloud Platform and led Gen-AI based application for materials science and characterization-Collaborated with Argonne national lab on using the self-driveing lab (SDL) to discover noval adhesive polymers
Education
University of Pennsylvania
Doctor of Philosophy (Ph.D.), Chemical & Biomolecular Engineering
2012 — 2017
University of Pennsylvania
Master of Science in Engineering, Mechanical Engineering & Applied Mechanics
2010 — 2011
Beihang University
Bachelor of Engineering, Bioengineering
2005 — 2009
Skills
- Machine Learning
- Scikit-Learn
- Sql
- Linux
- Evolutionary Algorithms
- C/C++
- Polymer Physics
- Matlab
- Tableau
- Molecular Dynamics
- Python
- Latex
- Java
- Data Analysis
- Shell Scripting
- Apache Spark
- C++
- Molecular Modeling
- Finite Element Analysis
- Lammps
- Research
- Gromacs
- Mechanical Testing
- Pandas
- High Performance Computing
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