Jiamu
Chen陈佳木

Research Assistant

Enhanced a Lasso-based model for nowcasting financial metrics by introducing new features, Sparse-Group Lasso regularization, and mixed-frequency regression techniques.改进基于 Lasso 的金融指标预测模型，引入新特征、Sparse-Group Lasso 正则化与混频回归方法。

Quantitative Researcher

Researched high-frequency alpha factors using daily, minute, and tick data; applied PyTorch models and GPU-accelerated computation.基于日频、分钟与逐笔数据开展高频 Alpha 因子研究，并应用 PyTorch 模型与 GPU 加速计算。

Teaching Assistant · Machine Learning for Finance

Teaching Assistant · Numerical Methods for Quantitative Finance

Supported graduate students in stochastic modeling, numerical algorithms, and Python-based implementation.协助研究生学习随机建模、数值算法与 Python 实现。

Quantitative Analyst Intern

Analyzed company, product, and market information for auto-parts manufacturers; developed a linear factor model for equity-investment decisions in the clean-energy vehicle industry.分析汽车零部件制造商的企业、产品与市场信息；为清洁能源汽车行业的股票投资决策开发线性因子模型。