• Developed ETL pipeline processing and aggregating target data over a set period of time

• Visualized data from pipeline with Vega and aggregation with Apache Spark

Conducting literature review over SOTA diffusion and generative modeling architectures.

• Proposing novel Stable-Diffusion offshoot generative diffusion model architecture.

• Unifying research conducted for TryOnDiffusion, Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation (DreamBooth), and Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models (GLIDE)

• Evaluating AI safety implementations with dataset acquiral and testing.

• Synthesizing high-dimensional data through data-centric AI

• Generating text embeddings for T-Distributed Stochastic neighbor Embedding

• Developing a predictive model forecasting energy trends for commercial buildings

• Developing control loop using modeled data to set grid loads

• Using modeled data to reduce energy costs and usage for energy companies

• Exploring the causes of, and potential solutions to, the spread of misinformation online (e.g. vaccine and election misinformation; QANON)