Jin Li

Jin Li is a healthcare technical marketing engineer at NVIDIA, working on product solutions in digital health and more. She focuses on utilizing NVIDIA Blueprints and NVIDIA NIM microservices in creating generative AI-enabled sample applications, demos, tutorials, and reference workflows to address real-world use cases. In her previous years at NVIDIA, Jin worked on intelligent video analytics, on autonomous vehicles, and on medical device AI applications with the NVIDIA Holoscan SDK.. She holds a MS in Machine Learning from Carnegie Mellon University, and a bachelor's degree in Electrical Engineering with a minor in Computer Science from University of Illinois at Urbana-Champaign.
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Posts by Jin Li

A surgeon using a medical device in an operating room.
Generative AI Dec 20, 2024

Build a Generative AI Medical Device Training Assistant with NVIDIA NIM Microservices

Innovation in medical devices continues to accelerate, with a record number authorized by the FDA every year. When these new or updated devices are introduced... 5 MIN READ
Frame by frame identification and tracking in endoscopy
Computer Vision / Video Analytics Aug 30, 2022

AI in Endoscopy: Improving Detection Rates and Visibility with Real-Time Sensing

Clinical applications for AI are improving digital surgery, helping to reduce errors, provide consistency, and enable surgeon augmentations that were previously... 4 MIN READ
Conversational AI Mar 26, 2020

Jump-start AI Training with NGC Pretrained Models On-Premises and in the Cloud

Figure 1. NGC software stack. The process of building an AI-powered solution from start to finish can be daunting. First, datasets must be curated and... 11 MIN READ
Computer Vision / Video Analytics Feb 12, 2020

Building a Real-time Redaction App Using NVIDIA DeepStream, Part 2: Deployment

This post is the second in a series (Part 1) that addresses the challenges of training an accurate deep learning model using a large public dataset and... 12 MIN READ
Computer Vision / Video Analytics Feb 12, 2020

Building a Real-time Redaction App Using NVIDIA DeepStream, Part 1: Training

Some of the biggest challenges in deploying an AI-based application are the accuracy of the model and being able to extract insights in real time. There’s a... 9 MIN READ