Weiping Yan
AI for Science Undergraduate Researcher
Profile
I work at the intersection of machine learning, scientific inquiry, and engineering design. My current interests include AI for Science, foundation models for technical workflows, and AI-assisted analog circuit modeling and optimization.
Higher Education
University of Minnesota
May 2026 — Present
B.S. studies in Computer Science and Electrical Engineering
Delft University of Technology × Eindhoven University of Technology
September 2024 — August 2026
Concurrent B.Sc. studies across Computer Science & Engineering, Electrical Engineering, and Applied Physics
Transferred to the University of Minnesota.
Research Experience
NLP Research Intern · University of Minnesota — Minnesota NLP Group
July 2026 — Present
Undergraduate research internship in natural language processing. Public project details are linked only when supporting evidence is available.
Research Assistant · The Chinese University of Hong Kong
March 2026 — Present
Research activity in LLM for Recommendation (LLM4Rec) and AI for Science.
Research Assistant · Zhangjiang Laboratory
July 2025 — September 2025
Studied semiconductor IC design workflows and EDA toolchains from schematic and pre-layout simulation through verification and MPW-oriented tape-out preparation.
- Documented public PDK concepts and how DRC constraints influence layout strategy and manufacturability.
- Compiled notes on DRC/LVS roles, common failure modes, and sign-off debugging approaches.
- Prepared a milestone and risk overview from schematic sign-off to foundry submission; no tape-out claim is made.
Student Researcher · Independent research project
September 2023 — February 2024
Investigated PM2.5 exposure and respiratory-disease incidence under the joint supervision of Prof. Soummya Kar (Carnegie Mellon University) and Associate Prof. Qiang Gao (Southeast University).
- Built a structured environmental and public-health dataset and used Python for exploratory analysis, statistical inference, and visualization.
Teaching
Teaching Assistant · Eindhoven University of Technology
September 2025 — November 2025
Supported undergraduate teaching in calculus and logic/set theory through tutorials, problem solving, and structured feedback.
- Guided work on limits, derivatives, integrals, formal reasoning, and set operations.
Entrepreneurship
Co-Founder · Veylora Labs
May 2026 — Present
Developing executive-intelligence systems that help organizational leaders identify patterns, risks, and opportunities across fragmented operational information.
Research Interests
- AI for Science: Learning systems for scientific and engineering problems where physical structure, constraints, and reproducible evidence matter.
- Foundation models: Foundation models as reasoning tools for recommendation, structured knowledge, and complex technical workflows.
- AI-driven analog EDA: Machine-learning methods for analog circuit modeling, optimization, and design automation under physical constraints.
Selected Public Evidence
- topo-flow-limitsappleweiping/topo-flow-limits
Research code examining when latent higher-order network structure can be identified from edge-flow observations.
- inr-aliasing-limitsappleweiping/inr-aliasing-limits
Research code examining identifiability and anti-aliasing sample design for implicit neural representations with fixed Fourier features.
- Lumen-Recappleweiping/Lumen-Rec
Research code for comparing pointwise LLM relevance estimates and uncertainty-aware reranking under a shared candidate protocol.
- TRUCE-Recappleweiping/TRUCE-Rec
Research code for uncertainty-aware generative recommendation, organized around shared data, baselines, evaluation, and reproducibility utilities.
- venus-basestationappleweiping/venus-basestation
Coursework base-station software with a live visualization dashboard for a multi-robot planetary-exploration project.
- art-history-museumappleweiping/art-history-museum
A browser-based interactive 3D art museum with a navigable history timeline and first-person galleries.
Methods & Skills
- Statistical inference
- Data analysis
- Data visualization
- Machine learning
- Scientific computing
- Research software engineering
Earlier Education
The Affiliated High School to Hangzhou Normal University
September 2021 — August 2024
High School Diploma — Chinese, Mathematics, English, Physics, Chemistry, and Technology
Shanghai Foreign Language School Affiliated to SISU
July 2023 — August 2024
Science and Engineering