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Ph.D.

• Computational Social Science
• Network Science
• Measuring and Mitigating Exposure Bias in Online Social Networks.
  • Identifying structural issues algorithms introduce as they mediate our interactions online.
  • Introducing methodologies for measuring and potentially mitigating such issues.

Master's

• Computer Science with a focus in Data Science & Analytics

Ph.D. Student

• Analyzed timeseries data of Google query trends and geospatial Uber/rideshare adoption in cities
• Used word embeddings to analyze Pastebin pastes to identify malicious pastes
• Learned embeddings of nodes based on information diffusion cascades
• Biases in Social Media Platform Timelines
  • Using webscraping techniques to gather information about how timelines bias exposure in social networks
  • Comparing several metrics in empirical and simulated social networks to assess impact of recommender systems
  • Utilizing agent-based modelling methods to understand dynamics of such biases

Civic Digital Fellow

• Automated extraction of information from death certificate data and matching to existing databases

Machine Learning Engineer

• Analyzed 100,000 scientific articles with word embeddings
• Developed new database schema for scientific publication repositories
• Ran custom experiments on Amazon Mechanical Turk
• Pulled, processed, and analyzed publication data for understanding non-profit research grants and their influence in seeding new areas of research

• USC Viterbi Best Viterbi Mentor Award
• USC Annenberg Graduate Fellowship

• Computer Science Graduate Student Teaching Prize