Yinuo Xu's Resume

Education

• M.S. in Computer and Information Science, University of Pennsylvania, Aug. 2024 - May 2026
  • GPA: 4.0/4.0
  • Relevant Coursework: Machine Learning, Natural Language Processing, Advanced Topics in Deep Learning, Bayesian Optimization
• B.A. in Computer Science and Mathematics, New York University, Feb. 2021 - May 2024
  • GPA: 3.88/4.0
  • Relevant Coursework: Algorithms, Machine Learning, Computer Graphics, Computer Systems Organization, Data Management and Analysis, Computer Simulation, Parallel Computing, Numerical Analysis, Real Analysis, Ordinary Differential Equations
  • Honors: University Honors Scholar, Dean’s List (2020–2023), Cum Laude

Research Experience

Research Assistant — University of Pennsylvania

Feb 2025 – Present

• Advisor: Prof. Zhi Huang
• Developed NuClass, a vision–language foundation model for zero-shot nuclei classification via alignment of ViT-based visual features with ontology-grounded text embeddings.
• Trained on 8.3M+ patch-level annotations across 11 histopathology datasets and evaluated across diverse tissue types and imaging modalities.
• Achieved SOTA performance under annotation-scarce settings.

Research Assistant — University of Pennsylvania

Aug 2024 – Present

• Advisor: Prof. Dan Roth
• Co-led the development of DeepTraceReward, a benchmark for video fakeness evaluation with temporally and spatially localized human annotations.
• Designed multimodal annotation schema and trained reward models that outperformed GPT-4.1 by 20.5%.

Research Assistant — Capital Normal University

Jun 2024 – Sep 2024

• Advisor: Prof. Hongxiao Wang
• Enhanced segmentation accuracy for small abdominal organs by fine-tuning MedSAM on 8k radiology images.
• Applied geometric enhancement techniques to improve clinical reliability of small organ recognition.

Research Assistant — Microsoft Research NYC

Jun 2024 – Jul 2024

• Supervisor: Dr. Jake Hofman
• Participated in intensive data science program focused on real-world analytics and ML applications.
• Collaborated on research assessing CitiBike’s impact using Python and R for statistical modeling and visualization.

Work Experience

Data Analyst Intern — Qihoo Technology Co., Ltd

Jun 2023 – Aug 2023

• Supervisor: Xiaobing Wen
• Reorganized commercial databases by traffic and customer segments.
• Extracted SQL statements and translated platform specs into Figma-aligned UI for internal STARK platform.

Data Analyst Intern — Huashi Private Equity Fund Management

Jun 2022 – Sep 2022

• Supervisor: Xiaojing Ji
• Developed bespoke trading algorithms and implemented SQL/Python workflows for investment analysis.

Teaching Assistant — New York University

Feb 2023 – May 2024

• Courses: Data Structures (Prof. Joanna Klukowska), Calculus (Prof. Silvia Espinosa Gútiez)
• Graded assignments, provided student feedback, proofread class materials, and participated in staff meetings.

Selected Projects

Classification of Model-Generated Text

• Investigated classifier performance on GPT-4, Grok, and LLaMA outputs using Gradient Boosting based on linguistic features.
• Achieved 97.9% accuracy in three-way classification, revealing model-specific text “fingerprints.”

Digital Acoustic Simulation of the Piano

• Used MATLAB and wave equations to simulate string vibration and acoustic output of piano.
• Validated synthesis by comparing simulated audio to real recordings.

Skills

• Languages: Python, Java, JavaScript, C++, C, HTML, CSS, MATLAB, Stata
• Frameworks & Libraries: PyTorch, TensorFlow, NumPy, Pandas, Matplotlib, ScanPy
• Technologies & Tools: LaTeX, Selenium, SQLAlchemy, Git, Figma, Mocha, Chai, Jupyter
• Databases: MySQL, PostgreSQL, MongoDB, Neo4j
• Languages: English (GRE 332/3.5, TOEFL 105), Mandarin (Native)

Service and Leadership

• STEM Outreach Coordinator at NYU Women in Science (2022–2024):
  • Mentored NYC high school students in STEM projects and competitions.
  • Organized events with top researchers to support young women in STEM.