Highly motivated M.Phil. student at USTC with a strong foundation in Operations Research, Machine Learning, and Decision Analytics, actively seeking Fall 2026 PhD opportunities. Leverages advanced quantitative skills and algorithm development expertise to solve complex optimization problems, as demonstrated through impactful academic research and industry internships. Committed to advancing innovative solutions in areas such as integer programming, approximation algorithms, and critical decision-making for real-world applications.
Integer Programming, Approximation Algorithms, Machine Learning, Reliability and Fairness, Decision Analytics, Emergency Response, Two-Sided Marketplaces.
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M.Phil.
Management Science and Engineering
Grade: GPA: 3.82/4.3 (Rank: Top 5%)
Courses
Convex Optimization
Integer Programming
Machine Learning
Intelligent Decision
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B.S.
Industrial Engineering
Grade: GPA: 3.64/4.0 (Rank: Top 5%)
Courses
Calculus
Linear Algebra
Statistics
Operations Research
Production and Operations Management
System Engineering
Experiments Design
Intelligent Optimization Algorithm
Teaching Assistant, Large-Scale Integer Programming (MSAE6409P.01)
Hefei, Anhui, China
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Summary
Supported graduate-level instruction in large-scale integer programming, facilitating student comprehension and problem-solving skills.
Highlights
Assisted over 30 graduate students with complex problem sets and theoretical concepts in large-scale integer programming, improving their understanding and application abilities.
Provided detailed feedback on assignments and projects, contributing to an enhanced learning experience and academic performance for students.
Held regular office hours to clarify course material and offer individualized support, ensuring students grasped advanced optimization techniques.
Prepared supplementary materials and practice problems, aiding students in mastering challenging topics and preparing for examinations.
Teaching Assistant, Reinforcement Learning: Basics and State-of-the-Art (MSAE6409P.02)
Hefei, Anhui, China
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Summary
Provided instructional support for a graduate course on reinforcement learning, focusing on foundational principles and cutting-edge advancements.
Highlights
Guided over 25 graduate students through advanced reinforcement learning concepts, including dynamic programming and deep Q-networks, fostering deeper analytical skills.
Evaluated and graded student projects and assignments, offering constructive critiques that supported their development in applying RL algorithms.
Facilitated interactive discussion sessions, encouraging critical thinking and collaborative problem-solving among students on complex RL scenarios.
Developed and presented examples of state-of-the-art RL applications, bridging theoretical knowledge with practical industry relevance.
Operations Research Algorithm Engineer
China
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Summary
Developed and implemented advanced Operations Research algorithms to optimize manufacturing processes and supply chain efficiency for a leading memory technology company.
Highlights
Designed and optimized production scheduling algorithms, improving resource utilization and reducing manufacturing cycle times by an estimated 10-15%.
Applied integer programming and machine learning techniques to enhance inventory management strategies, leading to a projected 5-8% reduction in holding costs.
Collaborated with cross-functional engineering teams to integrate OR solutions into existing production systems, ensuring seamless deployment and operational impact.
Analyzed complex operational data to identify bottlenecks and propose data-driven solutions, contributing to overall process efficiency and cost savings.
Industry 4.0 Smart Manufacturing Engineer
China
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Summary
Engineered and deployed smart manufacturing solutions leveraging Industry 4.0 principles to enhance production efficiency and operational intelligence within a powertrain systems environment.
Highlights
Developed and implemented data analytics solutions for real-time monitoring of manufacturing processes, enabling predictive maintenance and reducing equipment downtime by an estimated 12%.
Integrated IoT devices and sensor data to create a comprehensive digital twin of production lines, optimizing operational workflows and identifying areas for automation.
Designed and piloted automated quality control systems using machine vision, improving defect detection accuracy by 15% and reducing manual inspection efforts.
Contributed to the strategic roadmap for smart factory initiatives, focusing on leveraging AI and data-driven insights to achieve significant efficiency gains and cost reductions.
Awarded By
University of Science and Technology of China
Awarded for exceptional academic performance and scholarly achievement.
Awarded By
Chinese Government
Recognized for outstanding academic excellence and significant contributions as a student.
Awarded By
Consortium for Mathematics and its Applications (COMAP)
Achieved honorable mention in an international mathematical modeling competition, demonstrating strong problem-solving and analytical skills.
Awarded By
Chinese Physical Society
Secured third prize in a national university physics experiment competition, showcasing practical experimental skills and scientific understanding.
Summary
Co-authored research exploring optimization strategies for pricing and resource allocation in shared computing platforms, considering operational constraints. (Anticipated Publication)
Summary
Co-authored research presenting an advanced formulation and exact solution method for flow shop scheduling problems, enhancing efficiency in production planning. (Anticipated Publication)
Summary
Undergraduate dissertation advised by Prof. Qiang Lin and Prof. Lindong Liu, focusing on developing an optimized sequential recovery strategy for post-flood scenarios using Lagrangian Relaxation techniques.
Python (4 years), MATLAB (5 years), C (5 years).
Gurobi, SCIP, OR-Tools.
Git, Jupyter, PyCharm.
Integer Programming, Approximation Algorithms, Machine Learning, Decision Analytics, Convex Optimization, Linear Algebra, Statistics, Operations Research, System Engineering, Data Analysis, Algorithm Development, Problem Solving.