Xiaochuan Lu

Background

About Xiaochuan Lu

Mathematical and Theoretical Particle Physicist with a Ph.D. from UC Berkeley and 10+ years of data driven research experience. 46 peer-reviewed publications with 2500+ citations. Deep expertise in quantum physics, mathematical modeling, statistical data analysis, and algorithm development. Skilled at solving complex, abstract problems by designing systematic, concrete steps and transforming them into computational frameworks. Actively seeking opportunities to apply strong analytical thinking, programming skills, and research ability in data science and machine learning engineering roles. Relevant skills: • Programming: C++, Python, Pandas, SQL, Mathematica, Parallel and High Performance Computing at Clusters • Machine Learning: Neural Networks, Transformers and LLMs, Linear and Logistic Regressions, SVMs, Decision Trees, k-Nearest Neighbors, PCA and LDA, k-means Clustering, Pandas, NumPy, SciPy, Scikit-learn, PyTorch • Numerical Algorithms: Optimizations, Gradient Descent, Monte Carlo Simulations • Statistics and Mathematics: Probability Theory, Hypothesis Testing, Stochastic Analysis and Calculus, Real and Complex Analysis, Linear Algebra, Ordinary and Partial Differential Equations • Collaboration & Leadership: Technical mentoring, Cross-functional teamwork, Open-source contributions