JING LI

• Leverage Elasticsearch for streamlining the bioinformatics workflow, swiftly mastering data analysis tasks, and visualizing experimental data.

• This lab focuses on how parallel peripheral vision contributes to our rich world perception, examining simple visual search tasks to show how peripheral vision can extract extensive information in parallel.
• Analyzing task timing variability helps identify underlying mechanisms. The project uses a combination of psychophysical methods, computational modeling, eye-tracking, and EEG.

• Course assistant for CS124
• Providing academic support to students, compile course reference solutions and develop course projects.

• Conducted comprehensive data cleaning and quality assurance to ensure accuracy and reliability of datasets.
• Implemented web scraping techniques to efficiently extract financial data from multiple online sources.
• Applied advanced data manipulation and analysis using Python, NumPy, and pandas, enhancing workflow efficiency and data usability.
• Developed proficiency in quantitative risk assessment methods, contributing to risk evaluation and decision-making processes.

Skills: Python, Quantitative Risk Analysis, Data Cleaning, Web Scraping, NumPy, pandas