John Chenxi Song

Research Assistant | Network and System Administorator | Software Engineering

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Hello! I’m John Song, a Master’s graduate in Information Science with 1.5+ of research experience in bioinformatics. I’ve implemented a Java-based Bayesian Network Model for flu diagnosis and contributed to projects involving AI and machine learning, including prompt design for large language models and pathology image analysis using pre-trained models. I’m passionate about leveraging AI to benefit to everyone.

My Journey
  • Bayesian Network Modeling in Java Developed a user-friendly package implementing a Bayesian Network Model for flu disease diagnosis. This tool assists healthcare professionals in making accurate diagnoses by analyzing complex data patterns.

  • Large Language Models for Healthcare Provided code support for projects utilizing Large Language Models (LLMs) to design prompts for flu disease diagnosis. This work pushes the boundaries of how AI can interpret and generate human-like text to aid in medical assessments.

  • Pathology Image Analysis with Pre-trained Models Contributed to pathology projects by supporting code development for analyzing whole slide images using the pre-trained model Prov-Gigapath. This enhances the ability to perform downstream tasks like detecting anomalies in medical images.

  • Data Preprocessing and Management As a research assistant in the bioinformatics department, I handled preprocessing of unstructured data (text, whole slide images) and tabular data (CSV files), efficiently uploading and organizing them into SQL databases.

My Vision
  • The rapid advancement of AI techniques, such as LLMs and machine learning models, has unlocked new possibilities in AI-driven scientific research (AI4Science). I am eager to investigate foundational structures, gain a deep understanding of the underlying theories, and expand the frontiers of AI research to drive societal progress.
What’s Next?
  • I’m currently applying for a PhD in Computer Science to further my research in AI-driven solutions. My goal is to continue pushing the envelope in AI, machine learning, and large language models to create innovative tools that benefit everyone.

News

Recent Posts

Dec 23, 2024 Data Shapley Implementation
Dec 09, 2024 Monte Carlo Sampling
Sep 10, 2024 CUDA 8.0 Setup