Yinuo Xu's Resume

Education

M.S. in Computer and Information Science, University of Pennsylvania, Aug. 2024 - May 2026
B.A. in Computer Science, New York University, Aug. 2020 - May 2024
- Relevant Coursework: Algorithms, Machine Learning, Graphics, Computer Systems Org, OOP, Web Design, Computer Simulation, Data Management and Analysis, Applied Internet Technology, Parallel Computing, Numerical Analysis, Applied Cryptography & Network Security, Analysis, Discrete Math, Ordinary Differential Equations
- GPA: 3.9/4.00
- University Honors Scholar
- Dean’s List for Academic Year (2020-2024)
- NYU Cum laude

Institution: Capital Normal University
Duties:
- Enhance segmentation accuracy for small abdominal organs, achieving notable gains on diverse datasets.
- Improve pre-trained models to capture organ geometrical features, enhancing clinical application reliability.
- Increase model differentiation between small organs and adjacent structures, improving diagnostic precision.
Supervisor: Dr. Hongxiao Wang

Institution: Microsoft Research Lab
Duties:
- Completed intensive data science program, acquiring, cleaning, and analyzing real-world data.
- Collaborated on research projects with Microsoft Research scientists, enhancing teamwork skills.
- Applied machine learning to assess CitiBike’s impact in NYC, providing measurable insights.
- Utilized Python and R for data analysis, delivering actionable insights on CitiBike deployment.
Supervisor: Dr. Jake Hofman

Institution: New York University
Duties:
- Developed and optimized a Python script to automate the data extraction from one million files in ProQuest.
- Employed Selenium for automated web navigation to retrieve up-to-date files for analysis.
- Leveraged PyPDF2 library to programmatically read, extract, and manipulate text data from PDF documents.
- Utilized pandas for data manipulation and cleaning, ensuring the extracted data is accurate and ready for analysis.
Supervisor: Dr. Terrance Chen

Institution: New York University Shanghai
Duties:
- Collected data in diverse formats, including pre-processing of CSV/JSON files using the pandas library.
- Performed web scraping and analysis using BeautifulSoup for efficient data extraction.
- Inspected and cleansed CUSMA data from 96 chapters, each containing over 50,000 data points, using pandas DataFrame and numpy for streamlined data manipulation and processing.
- Imported data and generated insightful visualizations using matplotlib.
Supervisor: Dr. Nan Xu

Institution: New York University Shanghai
Duties:
- Conducted advanced econometric analysis on extensive U.S. import data using Stata for model optimization.
- Developed maximum likelihood estimation models, refining predictive insights for trade quality studies.
- Analyzed trade costs, creating visualizations to identify key trends for strategic decision support.
Supervisor: Dr. Nan Xu

Institution: Qihoo Technology Co., Ltd, China
Duties:
- Organized the company’s databases in terms of both traffic and customer dimensions for commercialization.
- Extracted specific MySQL statements from the company’s wiki and organized them into Excel spreadsheets.
- Designed the prototype for the STARK one-stop data development platform aligned with Figma designs.
Supervisor: Xiaobing Wen

Institution: Huashi Private Equity Fund Management Co., Ltd, China
Duties:
- Crafted and implemented bespoke trading algorithms, utilizing a multitude of programming languages to ensure seamless strategy execution.
- Employed SQL and Python to enhance database analysis, accomplishing data operation tasks and fostering data-driven decision-making processes.
Supervisor: Xiaojing Ji

Institution: New York University
Duties:
- Served as a Teaching Assistant in Data Structures course for two semesters under Dr. Joanna Klukowska, and in Calculus course for two semesters under Dr. Silvia Espinosa Gútiez.
- Graded regular homework/assignments and provided thorough feedback to students.
- Worked with instructors to proofread and verify class materials, participated in staff meetings.
Supervisors: Dr. Joanna Klukowska and Dr. Silvia Espinosa Gútiez

Programming Languages: Python, Java, Javascript, C++, C, HTML, CSS, MATLAB, Stata
Frameworks & Libraries:
- Numpy
- PyTorch
- Pandas
- Matplotlib
- TensorFlow
- Node.js
- Express.js
Technologies & Tools: Selenium, SQLAlchemy, Sass, Jupyter Notebook, LaTeX, Mocha, Chai, Figma, Git
Databases: MySQL, PostgreSQL, MongoDB, Neo4j
Languages: English, Mandarin