- Led the development of a novel approach for modeling and analyzing the evolution of information narratives in pro-Russian and pro-Ukrainian communities post-2022 Ukraine invasion, through comparative discourse analysis on Telegram, uncovering key themes, mechanisms, and influences shaping narrative dynamics. Paper submitted to ICWSM 2024.- Developed novel method extending agglomerative clustering for temporal text clustering, enabling dynamic analysis of narrative evolution across various contexts and applications.- Key contributor in a cross-platform research project analyzing discourse evolution in Ukrainian and Russian communities on Twitter, VK, and Telegram regarding the Russo-Ukrainian War, employing network-based metrics and evaluating major talking points and narrative dynamics over time.

- Leading a project to analyze the temporal evolution of war bloggers' narratives in the Russo-Ukrainian conflict, focusing on strategies that foster outgroup subhumanization and ingroup victimization, utilizing network-based methods and training a large language model for precise narrative classification.- Leading a project applying ecological models to understand competitive dynamics within narratives and their propagation among users in a network, enhancing understanding of information spread.

- Engineered a consumer-focused platform centralizing cannabis menus, reviews, and statistics across Ohio, enhancing user engagement and decision-making.- Developed a comprehensive brand-facing interface offering in-depth data analysis and market insights, enabling businesses to strategize effectively.- Designed and implemented a Django RESTful framework, overseeing full-stack development to create a seamless user experience on our website.- Automated the aggregation of menu data from over 90% of the market through advanced web scrapers, followed by data cleaning with trained language models.- Implemented dynamic data analysis reporting tools, providing up-to-date market insights and trends to support strategic decision-making.- Successfully launched the platform to a select user base, securing immediate collaboration with top dispensaries and cultivators for backend integration.- Collaborated closely with cultivators, processors, and dispensaries to refine product offerings, ensuring the platform met the diverse needs of the industry.

- Refined the MEWS (Misinformation Early Warning System) image-analysis pipeline by designing data crawlers for real-time social media photo collection and clustering, and overhauled the frontend to showcase an interactive image-map that delineates image clusters based on similarity and manipulation risk.- Applied Hawkes process and other mathematical models to analyze content popularity dynamics and contributed to the enhancement of clustering algorithms in collaboration with domain experts.- Initiated and led project curating and analyzing first widely available dataset for “Truth Social” to understand the dynamics of misinformation on the platform. Accepted into ICWSM 2023.

- Curated new COVID-19 dataset of 66 dynamic mobility graphs (each containing over 3000 nodes and an average of 540k edges) for GNN-based forecasting tasks.- Collaborated with team members to define and implement novel “Hierarchical Spatio-Temporal Graph Neural Network” model able to outperform both classical and GNN-based pandemic-forecasting tools; recognized as second author in accompanying paper.- Analyzed various approaches to increasing inductive learning for large graphs; implementing novel architectures to bolster representativeness and avoid over-smoothing on large graphs.

- Collaborated with political scientists to redesign European-based Political Data Yearbook Interactive.- Designed and implemented new framework in accordance with FAIR (data) Principles to provide consistent, accessible data on elections across 37 countries spanning multiple decades.- Designed APIs and frontend to allow users to easily interact with, visualize, and upload election results across countries.

- Full-stack development project using ASP.NET MVC, .NET Core, JavaScript, Entity Framework, (Progress) Sitefinity CMS, Bootstrap, Moq, Swagger, Ninject, SoapUI, New Relic, Twillio- Used SAST tool (Checkmarx) to remediate vulnerabilities within active codebase- Integrated with Twillio Authy for 2FA on external-facing websites- Created New Relic API synthetics against REST services and browser synthetics against external-facing web portals- Integrated into Agile team following Scrum methodology

- Developed initiative to create “Independence Boards” for LADD Forever Homes to enable a virtual personal assistant to assist with self-sufficiency- Developed long-term programming in conjunction with local high school to foster physical and social activity among LADD residents- Programmed computers and other devices to recognize voices, streamline calendars, and allow security camera video feeds