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Research Assistant

University of Science and Technology of China

PI: Prof. Tianhao Wang. Project: Towards Understanding Momentum Acceleration in River-Valley Loss Landscape.

• Analyzed gradient descent with heavy-ball momentum under river-valley loss landscape
• Theoretically showed momentum acceleration with larger learning rates
• Validated insights with experiments on synthetic functions and language model training

Research Intern

Yale University, Department of Biostatistics

PI: Prof. Hongyu Zhao. Project: Larger SNP List and Functional Annotations Help to Boost Polygenic Risk Scores (PRS) Accuracy.

• Performed data cleaning and quality control for multi-population genotype data
• Developed revised hierarchical Bayesian model based on JointPRS
• Enhanced model performance with self-adaptive hyperparameters
• Benchmarked model performance on simulated and real datasets

PhD

University of California, San Diego, Halıcıoğlu Data Science Institute

Data Science

Bachelor of Science

University of Science and Technology of China, School of Mathematical Sciences

Mathematics

• Real Analysis (H) - 95
• Functional Analysis - 97
• Probability Theory - 95
• Mathematical Statistics - 99
• Regression Analysis - 100
• Multivariate Analysis - 100
• Stochastic Processes - 96
• Applied Stochastic Processes - 97
• Introduction to Machine Learning - 95

Huangyu Memorial Scholarship

National Scholarship (Top 1%)

National Scholarship (Top 1%)

China National Petroleum Corporation (CNPC) Scholarship (Top 2%)

Excellent Student Scholarship