NLP Research Intern
University of Minnesota — Minnesota NLP Group
Undergraduate research internship in natural language processing. Public project details are linked only when supporting evidence is available.
Research & formation
My work is developing through research appointments, independent projects, teaching, and interdisciplinary engineering study. Each entry below is limited to the role and evidence currently supported by public or confirmed information.
01
Current appointments and earlier research projects, presented without inferred affiliations or unverified outcomes.
University of Minnesota — Minnesota NLP Group
Undergraduate research internship in natural language processing. Public project details are linked only when supporting evidence is available.
The Chinese University of Hong Kong
Research activity in LLM for Recommendation (LLM4Rec) and AI for Science.
Zhangjiang Laboratory
Studied semiconductor IC design workflows and EDA toolchains from schematic and pre-layout simulation through verification and MPW-oriented tape-out preparation.
Independent research project
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).
02
Working themes that connect the individual records.
Learning systems for scientific and engineering problems where physical structure, constraints, and reproducible evidence matter.
Foundation models as reasoning tools for recommendation, structured knowledge, and complex technical workflows.
Machine-learning methods for analog circuit modeling, optimization, and design automation under physical constraints.
03
Undergraduate instruction and structured mathematical support.
Eindhoven University of Technology
Supported undergraduate teaching in calculus and logic/set theory through tutorials, problem solving, and structured feedback.
04
Company-building is recorded separately from academic work and public repositories.
Veylora Labs
Developing executive-intelligence systems that help organizational leaders identify patterns, risks, and opportunities across fragmented operational information.
05
Concurrent interdisciplinary study followed by transfer to the University of Minnesota.
B.S. studies in Computer Science and Electrical Engineering
May 2026 — Present
Concurrent B.Sc. studies across Computer Science & Engineering, Electrical Engineering, and Applied Physics
Transferred to the University of Minnesota.
September 2024 — August 2026