Youngbin Kim

Who I Am

I'm a Senior Data Scientist at NewYork-Presbyterian, where I was the first dedicated LLM hire. I build clinical NLP pipelines within HIPAA-compliant LLM infrastructure (local and cloud) and design agentic workflows that help clinicians make better decisions. I earned my PhD in Biomedical Engineering from Columbia University in 2024, focusing on machine learning approaches to cardiac signal analysis in disease models using stem cell derived engineered heart tissues.

Before NYP and Columbia, I interned at Genentech building ML models and studied Bioengineering and EECS at UC Berkeley. I've published 9 peer-reviewed papers during my PhD and built BeatProfiler, an open-source ML platform for cardiac analysis adopted by external researchers. When I'm not wrangling data, you'll find me singing with the Young New Yorkers' Chorus, biking across the city, or planning my next trip.

What I Do

• LLM Engineering

  HIPAA-compliant infrastructure, LangGraph pipelines, agentic workflows

• Clinical NLP

  Medical text extraction, clinical decision support, EHR integration

• Cardiac Signal Analysis

  ML for ECG-like/calcium transient signals, BeatProfiler platform

• Data Science

  Python, deep learning, statistical modeling