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Algorithm Team Intern

Intime AI (Virtual Reality Technology)

Worked on 3D generation models deployment, testing and pipeline construction. Participated in building, cleaning and annotation of large-scale 3D asset datasets. Implemented multiple model API deployments and MCP service deployment. Participated in discussions and implementation of deep learning parameterized modeling for 3D asset large models.

• Deployed and tested 3D generation models
• Built large-scale 3D asset datasets
• Implemented model APIs and MCP services

Minor

Gaoli Institute, Renmin University of China

Fintech (Elite Class, Minor)

• Microeconomics
• Monetary Finance
• Macroeconomics
• Financial Practice
• Introduction to Fintech
• Business Skills

Bachelor

Renmin University of China

Statistics and Data Science (Elite Class)

• Mathematical Analysis (100/100)
• Advanced Algebra (98/100)
• Probability Theory (96/100)
• C Programming
• Python Programming and Machine Learning
• Data Structures and Algorithms
• Deep Learning

Second Class Scholarship

Renmin University of China

Awarded for academic excellence.

First Prize in Beijing Region - China Undergraduate Mathematical Contest in Modeling (CUMCM)

China Society for Industrial and Applied Mathematics

Won first prize in Beijing region for optimization of crop planting strategies based on greedy algorithms.

Meritorious Winner (First Prize) - Mathematical Contest in Modeling (MCM/ICM)

COMAP

Awarded Meritorious Winner (M Prize, First Prize) for research on ecological transition and organic agriculture dynamics.

phiLab - Image Edge Detection and Recognition

Independently completed the identification and classification of edge cracks in monolayer graphene. Assisted physics professionals in processing scanning tunneling microscope images of monolayer superconducting graphene, implementing superconductor classification using 1D CNN. Participated in numerical analysis of monolayer graphene crack curves and data mining for physical patterns.

• Edge crack identification and classification using deep learning
• 1D CNN for superconductor classification
• Data mining for physical pattern discovery

Mingli Innovation Lab - Big Data Complex Signal Optimization

Participated in reading and discussing cutting-edge machine learning papers (contrastive learning, reinforcement learning, LLM directions). Participated in image recognition and generative model architecture construction.

• Research on contrastive learning and reinforcement learning
• Generative model architecture design
• Image recognition model development

SIA-LAB (Tsinghua & ByteDance) - Molecular Generation with GenAI

Mastered fundamental principles of Diffusion Models, Score Models, Flow Models, and Bayesian Flow Networks. Reproduced multiple generative models and conducted training and testing of small-scale molecular generation models. Participated in code optimization and performance improvement of molecular generation models.

• Mastered advanced generative model architectures
• Implemented and trained molecular generation models
• Model optimization and performance enhancement

CUMCM 2024 - Crop Planting Strategy Optimization

Based on greedy algorithms, developed optimization strategies for crop planting. Cleaned data, abstracted constraints, established objective functions for mathematical modeling. Implemented crop planting strategy search using priority queues and greedy algorithms. Completed paper writing and typesetting.

• Mathematical modeling with constraint optimization
• Greedy algorithm implementation with priority queues
• Won First Prize in Beijing Region

MCM/ICM 2025 - Ecological Transition and Organic Agriculture

Implemented farmland ecosystem dynamics model using differential equations and numerical methods. Cleaned data, established mathematical models for ecological transition effects. Completed paper writing and typesetting. Won Meritorious Winner (M Prize).

• Differential equation modeling of ecosystem dynamics
• Numerical methods for ecological simulation
• Won Meritorious Winner (First Prize)