▪Work as a Data Science and AI Engineer for Portfolio T’s incubator/venture studio, helping acceleratestartups by advancing their DS and AI projects▪ Develop RAG and GraphRAG-enabled chat bot systems, significantly enhancing conversational AI accuracy on up-to-date information▪ Engineer fully autonomous multi-agent AI researchers, synthesizing insights across a wide array of data sources, including internal documents, social media scrapes, and multi modal content via web search for deep knowledge discovery▪ Fine-tune swarm of LoRA adapters to achieve true digital twin personas with AI▪ Design and implement algorithmic digital twin validation system, ensuring statements from AI digitaltwins mirror real individuals

▪ Designed pipeline for predicting pharmaceutical and generic interventions in diseasedtissue using high-dimensional single cell RNA-sequencing data▪ Characterized region-specific gene expression networks in cells from the developingfacial skeleton▪ Oversaw the computational wing of the lab and managed a team of undergraduateand MS students who assisted in bioinformatic efforts▪ Consulted multiple labs on their statistics and bioinformatic workflows

▪ Designed image segmentation algorithms to reconstruct fluorescent labelingfrom 2d photomicrographs of sectioned mouse brains, revealing networkstructure▪ Built tools to detect and visualize aberrant neural connections(connectopathies) in disease models of Alzheimer’s, Huntington’s andAutism.

As an undergraduate researcher, I worked under Dr. Brad Wyble in his visual cognition lab, exploring whether attention is deployed simultaneously or sequentially to visual stimuli that are presented simultaneously. In this role, I helped design computerized experiments, ran subjects, analyzed performance data, culminating in a first author publication.