GROWTH & PRACTICE / 02

How I work with models, retrieval, and agents

During an algorithm internship at a content platform, I maintained KR lifecycle forecasts, improved hot-period peer extrapolation, and connected predictions to Claw Bot; I also contributed to the simulation design with primary responsibility for downstream discourse graphs and audience analysis.

Algorithm internship · May–Aug 2026

Workflows03 / 03
Education and research

  1. 2022–Present · Learning and growth

    Statistics and Data Science

    B.Sc. in Data Science and Big Data Technology at SWUFE (Sep 2022–Jun 2026); pursuing a master’s in Applied Statistics at Beijing Normal University since Sep 2026.

  2. 2024 - 2025 · Research

    Modeling, Evaluation, and Interpretation

    As a research project member responsible for model design and experimental programming, combined node features with edges and studied community-aware attention, baselines, and ablations.

  3. 2025–Present · Applied Work

    Forecasting and Agent Delivery

    Worked on sparse-observation and lifecycle forecasts during an algorithm internship and connected predictions to a live Bot; medical and geoscience projects focused on knowledge organization and drafting, while insurance work covered retrieval evaluation and strategy configuration.

A.03 / RELATED PROJECT

Agent Workflows

Connect retrieval, judgment, execution, and delivery into a workflow, with human confirmation and review at key steps.

Workflow illustration for a medical research agent
Medical Investment Research Agent · I independently connected fragmented medical-investment sources into a knowledge base and workflow, from organizing knowledge and finding evidence to multi-turn analysis and report drafting.