Research assistant

GUYI (MICHELLE) CHEN

734-***-**** ********@*.************.*** 1930 Ridge Avenue, Evanston, IL 60201 EDUCATION

Northwestern University September 2019 - June 2023 (expected) PhD Candidate in Industrial Engineering and Management Sciences Evanston, IL

Research focus: Stochastic optimization and machine learning

Relevant Coursework: Mathematical Statistics, Stochastic Models & Simulation, Predictive Analytics, Mathematical Programming, Conic Optimization, Stochastic Processes, Operations University of Michigan September 2015 - May 2019

BSE in Industrial and Operations Engineering and Data Science Ann Arbor, MI Minor in Germanic Language and Cultures

GPA: 3.94/4.0

RESEARCH EXPERIENCE

Parameter Estimation using Bayesian Optimization March 2020 - Present Murphy Fellow and Research Assistant

Advised by Professor David Morton on project funded by Department of Energy Evanston, IL

Apply and improve Bayesian optimization algorithm to learn key parameters in a high- delity simulation model of a concentrating solar power plant

Implement Bayesian optimization algorithm using Python and reduce the error between the simulation output and real-world data from 15% to 5%

Independent Studies on Traveling Repairman Problem September 2018 - April 2019 Research Student

Advised under Professor Viswanath Nagarajan Ann Arbor, MI

Conducted literature review and validated current models using Gurobi

Proposed new integer programming formulation of TRP and tested its computational e ciency Center for Healthcare Engineering and Patient Safety January 2018 - July 2019 Research Assistant

Advised under Professor Amy Cohn Ann Arbor, MI

Glaucoma Clinic Project

- Collaborated with medical and engineering students to reduce wait time by using engineering approaches and observing patient experience

- Analyzed data from radio frequency identi cation ping database using Python and SQL to determine the test room utilization and patient location every day of the week

Aviation Project

- Analyzed pros and cons of di erent ight generation methods

- Formulated and implemented ight column generation optimization problem via linear programming in CPLEX and C++

- Met regularly with local freight airline to understand its foremost need and tailor our optimization solutions accordingly

Veteran Eye Access Project

- Collaborated with Veteran A airs system in Georgia to develop multi-objective linear programming models to minimize overall cost, maximize patient coverage and minimize furthest distance any patient would travel

WORK EXPERIENCE

Fiat Chrysler Group May 2018 - July 2018

Digital Manufacturing Intern Turin, Italy

Cleaned data using Dataiku to improve the legacy system data that was previously stored in Excel. Developed appropriate normalized data models and transferred them to a MySQL database

Worked collaboratively with the Data Science team to de ne the development guideline for nding the best approach on how to implement microservices

Implemented proof-of-concept microservices that store data and call the API getaway to interact with the target system

Hangzhou Zaiyan Network Ltd. May 2017 - July 2017

Quant Intern Hangzhou, China

Studied Chinese stock market trends and developed stock simulation models using machine learning techniques and mathematical models to analyze the most popular stock list

Collected, cleaned, and transformed stock data to a MongoDB Database

Won 3rd place in a competition where my stock market algorithms yielded a pro t margin of 15% OTHER EXPERIENCE

INFORMS Student Chapter June 2020 - Present

Secretary Evanston, IL

Organize social events such as welcome-back party to enhance community in the department

Mentor the rst year PhD students to help them transition into PhD life

Create events that help bring together and support fellow students during the pandemic SKILLS

Software Python, C++, SQL, MATLAB, LaTex, Git, Gurobi, Cplex, HTML, CSS, JavaScript, JQuery, Flask, Microsoft PowerPoint, Access, Excel Languages Native language: Chinese; Fluent in English; Intermediate level in German; Elementary in Italian

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