Experiences
Teaching, professional service, and industry experiences.
Teaching
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2023 Modeling and Simulation in Materials Science
Teaching Assistant, Northwestern (MSE 358) - Redesigned lab assignments in Jupyter Notebooks and ASE.
- Delivered lectures on materials informatics and machine learning.
- Held tutorials on Python, Linux, and high-performance computing.
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2017 Probability and Statistics
Peer Mentor, SJTU (MATH 119)
Industry Experiences
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2023 Research Intern
Mitsubishi Electric Research Laboratories - Machine learning-based electric motor design and fault diagnosis.
Professional Services
Reviewer | Machine Learning Science and Technology, European Physical Journal B, Neural Computing & Applications, MRS Advances, ISA Transactions, MethodsX, Journal of Open Source Software; NeurIPS (top reviewer), ICLR, ICML, IDETC-CIE, AI4Mat Workshop, ICEM |
Assistant | 2025 MRS Spring Meeting symposium assistant |
Outreach
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Co-Organizer, NICO Reading Group
- Organize discussions on fundamental and state-of-the-art AI methods with applications in various domains.
- Participated by students and scholars from university, community college, and industry.
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Volunteer, All Scout Nano Day
- A program for kids and parents to visit Northwestern’s campus to delve into the exciting field of nanotechnology.
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Volunteer, Baxter Center for Science Education
- A symposium for middle/high school teachers from the Chicago region to explore cutting-edge science activities.