CV

Education

University of Southern California
Los Angeles, CA, USA

• Ph.D. Student, Industrial and Systems Engineering (Aug. 2023 - Present)
• MSc, Analytics (Jan. 2021 – Dec. 2022)
  • Advisor: Mayank Kejriwal
  • Key Courses: Design of Experiments and Quality Engineering, Stochastic Processes, Decision Analysis, Reinforcement Learning, Linear Optimization, Stochastic Optimization, Data Management, Data Mining, Text Analytics

The Chinese University of Hong Kong, Shenzhen
Shenzhen, China

• BSc, Statistics (Sep. 2016 – May 2020)
  • Key Courses: Probability and Statistics, Regression Analysis, Statistical Inference, Survey Sampling, Nonparametric Statistics, Categorical Data Analysis, Statistical Modelling in Financial Markets, Stochastic Calculus

Awards

• Jenny Wang Excellence in Teaching Award (USC) (2024)
• ISE Department Outstanding Teaching Assistant of the Year (USC) (2024)

Teaching Experience

University of Southern California

• Teaching Assistant:
  • ISE 540: Text Analytics (Fall 2023, Spring 2025)

Mentoring

• John Lim (REU Summer program; Northwestern University) (Summer 2023)
• Yining Ma (Directed Research; USC) (Spring 2024)
• Revanth Yamani (Directed Research; USC) (Spring 2024)
• Shree Vaishnavi Bacha (Directed Research; USC) (Spring 2024 - Present)
• Vishal Patil (Directed Research; USC) (Spring 2024 - Present)
• Daiqi He (Directed Research; USC) (Summer 2024 - Present)
• Herry Wang (Directed Research; USC) (Summer 2024)
• Erica Okeh (Viterbi SURE Program; USC) (Summer 2024)
• Richard Joungyoon Kim (CURVE Program; USC) (Fall 2024 - Present)
• Angel Otters (Directed Research; USC) (Fall 2024)

Professional Service

• Journal Reviewer for:
  • Social Network Analysis and Mining (Springer)

Industry Experience

USC Information Sciences Institute
Marina del Rey, CA, USA

• Research Engineer (May 2021 – Sep. 2021)
  • Contributed to research within the Artificial Intelligence and Complex Systems (AICS) group
  • Designed and executed experiments and collaborated on academic publications, including drafting manuscripts and preparing experimental results.

Datago Technology Limited
Hong Kong

• Quantitative Researcher Intern (May 2021 – Sep. 2021)
  • Architected and implemented a data pipeline to extract, preprocess, and analyze large-scale unstructured text data from online stock forums.
  • Conducted statistical analysis to assess the predictive power and significance of sentiment-based trading factors.
  • Performed portfolio back-testing to evaluate trading strategy performance.

PING AN
Shenzhen, China

• Data Analyst Intern (Jun. 2019 – Sep. 2019)
  • Assisted in designing and executing A/B testing to evaluate the performance of user interface variations.
  • Analyzed key performance indicators to derive actionable insights.

Guosen Securities
Shenzhen, China

• Algorithmic Trader Intern (Jun. 2018 – Sep. 2018)
  • Assisted in automating and optimizing trading strategies for enhanced efficiency and scalability.

Technical Skills

• Data Analysis: Python (PyTorch, Scikit-Learn, NetworkX), R, Julia, Stata
• Web Development: JavaScript, React.js, D3.js
• Visualization: Tableau, Plotly, Matplotlib, Gephi
• Database/Systems: Neo4j, Hadoop, MySQL, Snowflake, Linux, AWS