PROFILE OF QUALIFICATIONS

• Conduct deep dives into prior art related to AGI, data science models, algorithms, and AI technologies. Identify earlier patents, publications, or systems that may be used to challenge the novelty of patent applications.
  
• Analyze and interpret computer science-related patent drafting, applying unique expertise to evaluate the scope of the innovation and providing insight into whether an accused product or system meets the technical requirements laid out in the claims.
  
• Serve as a technical consultant during litigation, explaining complex AI and data science concepts to our team and the court with a clear understanding of the technical nuances, particularly when comparing how the emerging technology is implemented against the patented invention.
  
• Use machine learning and data science to predict outcomes in patent litigation based on historical data, such as past case rulings, arguments, and the technical complexities of IP cases in Data Science.
  
• Help in-house legal teams prepare regulatory filings that document AI compliance, such as filings with data protection authorities or industry regulators. These filings often require in-depth descriptions of how AI systems work, how they protect data, and what measures are in place to prevent bias.
  

TECHNICAL SKILLS

• Programming: Java, C++, Python (pandas, scipy,plotly), R (dplyr, ggplot), stata
  
• Database Management: SQL, PostgreSQL, Oracle
  
• Geographic Information Science: ArcGIS Pro, ArcMap
  
• Data Visualization: Power BI, Tableau, D3, Plotly
  
• Advanced-Data Analysis: Statistical modeling, multi-level regression analysis, ETL development
  
• Experience in analyzing complex technical data for decision-making, innovation, and problem-resolution
  

Researcher | MIT | Oct 2024 – Present  

Research Assistant | Technology Learning and Leadership program, University of Maryland College Park | Aug 2020 – Present 

Senior Research Data Analyst | Bloomberg Center for Government Excellence, Johns Hopkins University | Mar 2017 – Dec 2020

• Led technology-driven research and data analysis projects, including developing tools using proprietary data and contributing to policy-making processes.
  
• Applied GIS and data modeling to support cities in addressing complex infrastructure and housing challenges, ensuring compliance with technical standards.
  
• Contributed to initiatives related to evaluating and managing emerging technologies with potential for patent applications.
  

Data Analyst | Data Transfer Solutions LLC | June 2013 – Dec 2016

• Managed and analyzed technical datasets for government projects, including transportation and infrastructure planning.
  
• Used Python, Perl, SQL, and GIS technologies to maintain and improve tools used in large-scale government projects.
  
• Ensured quality control and compliance in technical documentation and reporting, supporting patenting processes for new innovations.
  

• Zhou, X., Polat, N., Weintrop, D. (2024). “Exploring the Spectrum of Underrepresentation in Computer Science Education: A Multi-Stage Analysis.” In Review
  
• Funderburg, R., Zhou, X. (2017). “Trading Industry Clusters Amid the Legacy of Industrial Land-Use Planning in Southern California.” Environment and Planning A
  
• Zhang, B., Lei, L., Zhou, X. (2010). “Change Assessment of Albedo for Different Humanistic Regions.” Geoscience and Remote Sensing Symposium Proceedings (IGARSS)