Research

Bridging academic rigor and real-world applications, my research focuses on advancing AI, NLP, and affective computing to address critical challenges.

Data Mining for Public Policy

Partnered with a non-profit to develop data mining solutions for state budgets, campaign financials, and legislator activity.

  • Role: Research Fellow at IATPP
  • Tools: Python, Selenium, BeautifulSoup, MySQL
  • Impact: Contributed to government transparency and public awareness.

AI for Search and Rescue

Researched semantic search and ontology creation to improve search-and-rescue operations.

  • Role: Undergraduate Researcher (SURP)
  • Tools: Protégé, PoolParty
  • Impact: Enhanced search algorithms for locating missing persons.

Applied Affective Computing

Conducted experiments to analyze emotional responses using EEG data from participants exposed to basic tastes.

  • Role: Undergraduate Student Researcher
  • Tools: Emotiv Headset
  • Impact: Explored interdisciplinary applications of affective computing.

Research Focus Areas

Natural Language Processing

Exploring contradiction detection, semantic search, and advancing transparency through NLP systems.

Affective Computing

Investigating emotional responses using EEG data and applying insights to interdisciplinary fields.

Public Transparency in AI

Promoting government accountability by integrating AI systems with publicly accessible datasets.