As part of the Maryland Language Science Research Center, the Fostering Inclusivity through Technology (FIT) project seeks to achieve common ground in autistic-neurotypical interactions with innovations in videoconferencing. https://autism.umd.edu/fit/

Providing language modeling (LLM) expertise for projects that combine and augment human intelligence with the help of machine intelligence or AI

Technology & Translational Research Unit (TTRU)* Work on creating a chatbot, using LLMs and retrieval augmented generation (RAG), to provide counseling for substance use issues* Conduct NLP research leveraging social media to understand mental health based on language choice* Spearhead research into using keystroke data from mobile devices in order to understand users' motivations* Mentor team members on statistics and technical issuesAwarded a Scientific Director Fellowship for Diversity in Research (SDFDR)

PhD Dissertation: "Predicting Social Dynamics in Interactions Using Keystroke Patterns"- Media, Technology & Society (MTS) PhD program within the Department of Communication Studies, focused on Human-Computer Interaction- Cognitive Science Specialist- Data Science Fellow* End-to-End Research Management: Recruited 300+ crowdsourced participants for thesis, lead and supervise all aspects of data analysis* Quantitative Methods: Use behavioral metrics and NLP to infer patterns in user experiences* Qualitative Methods: Evaluate survey and questionnaire responses to understand user sentiment* Machine Learning: Create classification and regression models to understand the influence of relationships and satisfaction on user behavior* Research Coordination: Lead a team of research assistants to design an experimental apparatus and analyze results of users engaged in conversations* Data Visualization: Design compelling graphics to communicate complex findings

- Research into neural networks and language model predictability- Research into linguistic markers of autism

* Experiment design and evaluation: Empirically evaluate the quality of automated speech systems against subjective user quality ratings

Conducted research on magnifying the impact of public health campaigns, using the Human Genome Project as a model to understand campaigns at an "atomic" level

Researcher for DARPA-funded initiative to study keystroke dynamics (typing patterns) as a biometric for active authentication

* Web portal design: Developed back- and front-end site to diagnose licensing issues with Microsoft products

* Technology enhancement leadership: Coordinated software development to streamline daily asset delivery workflow, from 3 hours to 25 minutes