Sara Moshtaghi L

About Sara Moshtaghi L

I am Sara Moshtaghi, a direct PhD student in Computer Science at the University of Cincinnati. I successfully defended my master’s thesis while pursuing my PhD, where I developed sampling algorithms for big data that eliminate the need for full provenance computation.My doctoral research focuses on recommender systems, knowledge graphs, and natural language processing, with an emphasis on bias-aware and scalable AI methods.Currently, I am an Applied Scientist Intern at Cincinnati Children’s Hospital Medical Center (CCHMC), working on AI and biomedical research projects involving large-scale foundation models for spatial transcriptomics.Previously, I served as an NLP and LLM Data Scientist Intern at Procter & Gamble, where I developed a Flask-based web application and implemented retrieval-augmented generation (RAG) techniques to refine language model responses and improve chatbot performance.I hold certifications in machine learning, data science, and natural language processing from Google, IBM, and Udemy. My goal is to advance the field of applied AI by developing reliable, interpretable, and data-driven systems that contribute to meaningful scientific and technological progress.

Experience

1. Ai Researcher Biomedical Ai

   Cincinnati Children's

   Apr 2026 — Present

   Working as an Applied NLP/LLM Researcher, developing and fine-tuning Large Language Models (LLMs) for biomedical and clinical data applications.Designing and deploying NLP pipelines to transform unstructured medical text into structured, actionable insights.Leading efforts in model fine-tuning, evaluation, and optimization for domain-specific healthcare use cases.Collaborating with clinicians and data scientists to build AI systems that support biomedical discovery and clinical decision-making.Developing scalable data processing and model training workflows for large-scale, multi-modal biomedical datasets.Advancing research in healthcare AI with a focus on model reliability, interpretability, and real-world applicability.

Education

• University of Cincinnati

  Master of Science - MS, Computer Science

• University of Cincinnati

  Doctor of Philosophy - PhD, Computer Science