About Me

I studied Biology with a focus on bioinformatics research at the Lebanese American University (LAU), where I also completed my Medical Degree. Throughout medical school, I actively participated in research projects applying machine learning to clinical medicine, sparking my interest in translational medicine. My collaborative research efforts included work with institutions such as Mayo Clinic and Thomas Jefferson Hospital.

Currently, I’m a researcher at the Aghaeepour Lab, where I build and evaluate machine learning models designed for clinical applications. My work includes:

• Analyzing anesthesiology research trends using topic modeling techniques.
  Publication: “Comprehensive overview of the anesthesiology research landscape: A Machine Learning Analysis of 737 NIH-funded anesthesiology primary Investigator’s publication trends.” — Heliyon
• Optimizing neonatal care with predictive models for total parenteral nutrition (TPN).
  Publication: “AI-driven Precision Total Parenteral Nutrition in Neonatal Intensive Care Units with TPN2.0.” — Nature Medicine
• Developing a perioperative foundation model to personalize anesthesia, monitor patients during surgery, and detect undiagnosed conditions.
• Identifying differential responders in clinical trials to enhance precision medicine.

Research Interests

My research interests center on using deep learning models to identify clinically relevant patterns in large medical datasets to provide personalized and predictive healthcare. Key areas include:

• Building foundation models for perioperative medicine
• Deep learning for subgroup discovery
• Utilizing patient embeddings for downstream predictions

Beyond the Lab

Listening to progressive rock or unwinding with these hobbies:

• Skydiving (after joining the lab!)
• Tennis
• Gaming
• Reading
• Hiking
• Exploring coastal cities