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Resume
1. CHUTONG GAO
(+86) 13126551898 oliverpku@pku.edu.cn
EDUCATION
Peking University, Department of Mechanics and Engineering Science 2017-2021(expected)
B.E. in Engineering Mechanics
• Overall GPA:3.58/4.00, ranking top 1 of 10 in the major
• Courses: Mathematical Analysis(I) 93; Mathematical analysis(II) 87; Linear Algebra 97; Ordinary Dif-
ferential Equations 89; Numerical Analysis 91; Mathematics in Engineering 91; Probability and Statistics
95
University of Toronto, Department of Mechanics and Industrial Engineering 2020
Exchange Student
• Courses: Nonlinear Optimization(APM462), Introduction to Machine Learning(CSC311), Algorithms
and Data Structures(ECE345), Optimization in Machine Learning(MIE424)
RESEARCH INTERESTS
Design and analysis of optimization algorithms, Operations management, Supply chain management
RESEARCH EXPERIENCE
Peking University, Department of Industrial Engineering and Management Beijing, China
Advisor: Leyuan Shi May.2019-Jan.2020
Multi-level Lot Streaming Production Planning
· Examined a tactical production balancing problem we encountered in factory producing discrete equipment.
· Formulated the problem with multi-level BOM structure as IQP and reformulated an equivalent but much
more simplified model by examining the properties of the system.
· Derived properties to help solve the problem.
· Proposed an enhanced variable neighborhood search algorithm to solve large-scale problems.
· Developed a lower bound and designed an exact algorithm to derive the lower bound to measure the perfor-
mance of the algorithm.
· Verified the correctness and effectiveness of the reformulation and algorithm by numerical experiments.
PUBLICATIONS
1.Weihao Wang, Chutong Gao, Leyuan Shi
Workload Balancing for Production Planning with Lot Streaming and Multi-level BOM
IEEE Transactions on Automation Science and Engineering.Conference-Based Special Issue,2020.[Under Re-
view]
PROJECTS
Peking University, Department of Mechanics and Engineering Science Beijing, China
Class Project. Advisor: Xi Zhang Dec.2019-Jan.2020
Housing Price Prediction Based on LASSO with ADMM Algorithm
· Built a housing prediction model based on LASSO and Ames Housing data Set.
· Programmed on Python to analyze and process the data set with statistics knowledge.
· Used CVX in Matlab to solve the optimization problem and designed an ADMM based algorithm for LASSO
to massively improve the efficiency of regression.
· Ranked top 10% on Kaggle and got high scores on the course Probability and Statistics.
2. EXTRACURRICULAR EXPERIENCES
iPodia Global Innovation Program Beijing, China; Quer´etaro, Mexico
Teaching Assistant Aug.2019-Jan.2020
In charge of student recruitment online and offline. Coordinated with TAs worldwide. Organized the one-week
international cultural exchange activity in Mexico. More information: iPodia Global Innovation Program.
Perk Summit Chongqing, China
Course Instructor July.2019-Aug.2019
Gave lectures on Mathematical Modeling and Operations Research for high school students and organized other
activities, like Problem-based Learning, Social Enterprise Contest, etc. More information: Perk Summit.
Summer School of Peking University Beijing, China
Mentor Jun.2019-July.2019
Instructed top students from senior high schools in China during the summer school in College of Engineering,
PKU.
HONORS
· National College Student Mathematical Competition, 1st Prize(2019) by Chinese Mathematical So-
ciety
· Boeing Scholarship(2019) by The Boeing Company and College of Engineering, Peking University for ex-
cellent academic and overall performance
· Chinese Government Scholarship(2019) sponsored by China Scholarship Council(CSC) for overseas ex-
change
· Merit Student of Peking University(2019) by Peking University
· Chongqing Mayor Prize of Science and Technology Innovation(2018) by Mayor of People’s Govern-
ment of Chongqing for innovation project
· China Adolescents Science and Technology Innovation Contest, 2nd Prize(2016) by China Associ-
ation for Science and Technology
SKILLS
Research related:C, C++, Python, Matlab,LATEX, Cplex, Gurobi, Mosek
English:GRE V157, Q170, AW 3.5; TOEFL 100
Other Skills: Violin