Co-Founded AlltAI to use modern natural language processing (NLP) techniques to empower educators with assessment-led learning through AI.

• Work in the NLP team under the leadership of Dr. Joseph Johnson on a number of machine learning projects using natural language processing (NLP).Current Projects Include:• Hired by a hospital to develop a machine learning model to classify patients into diagnosis-related groups (DRGs). • Utilizing PaLM 2 with Vertex AI and distributed cloud computing, Llama 3, and BERT to improve medical education.• Using NLP models with GraphSage to parse neuroregeneration literature from the 1700s to present.

• Co-authored and published papers with Bascom Palmer physicians on a number of data science and machine learning applications.Projects include:• Performance of a Large Language Model Versus a Small Language Model in Answering Ophthalmology Boards Style Questions. • Evaluating Retrieval Augment Generation and ChatGPT’s Accuracy on Orthopaedic Examination Assessment Questions.• Using Robotic Process Automation to Improve Data Extraction for Artificial Intelligence Research in Ophthalmology.• Analyzing characteristics of eyes developing severe visual impairment due to glaucoma in the Bascom Palmer Glaucoma Repository.• Analyzing intravisit RNFL and GCIPL OCT Variability in the Bascom Palmer Glaucoma Repository using R.• Developed a novel thickness-acquisition program for optical coherence tomography scans in the ImageJ Macro Language.

• Solely programmed the UM XR Student Competition Grant Winner VR app Synesthesia. • An interactive and immersive virtual reality visual narrative driven by music and rhythm. • App developed in Unity using C# and OpenXR for cross-platform support.

• Worked in Dr. Milan Chheda’s research team studying the tumor-initiating cellstates of Glioblastoma. • Developed an automated tool for CRISPR-Cas9 gene-editing template validation.