Jason Lin
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Jason Chia-Sheng Lin

Doctoral Researcher, Artificial Intelligence in Medical Imaging / Signal Analysis Lab

I bring together medical AI lab research, system building, and investigation-informed thinking to design AI agents and IDE-like agent systems that stay useful when evidence, regulation, and deployment constraints matter.

NYCU Based in Taiwan AI Agents

Primary paths

Research

Agenda, active directions, and current papers.

Research →

Projects

Selected case studies and system builds.

Projects →

Writing

Essays and research notes.

Writing →

Talks

Topics, keynote material, and recent sessions.

Talks →

About

Background, research path, and toolkit.

About →

Contact

Email, context, and the best next step.

Contact →

Quick paths by audience

This page is meant to shorten the first routing decision. If you already know why you are here, these are the fastest paths into the right part of the site.

Collaborate

Start here for research collaboration, technical discussion, and interdisciplinary work.

Recruiters / Hiring Teams

A concise view of background, research fit, and the way the work connects research with delivery.

Students

See the active questions, ongoing directions, and the kinds of systems problems I care about.

Speaking / Media

Browse topics, recent sessions, and invitation-ready material for seminars or events.

Selected work

A small set of representative entry points across projects, writing, and talks.

Projects

Federated Learning Leakage Study

A research case study on federated learning privacy leakage, gradient inversion risk, and defense trade-offs for sensitive collaborative training.

Projects

Fraud Conversation Analysis with RAG

A research-led case study on retrieval-augmented fraud conversation analysis, designed to keep LLM outputs grounded in transcript evidence for high-stakes review.

Projects

Speech Evidence Intelligence Pipeline

An evidence-aware speech intelligence pipeline using ASR, retrieval, and LLM extraction to turn long-form conversational audio into structured, reviewable outputs.

Essay

From Flat UI to Spatial Interface

Liquid Glass, visionOS, and AI point toward a future where the operating system is redefined less by the kernel than by a new operating surface for search, orchestration, and cross-app work.

Narrative version

Web keynote narrative

Breakout session on cybersecurity practice for AI software medical devices, using FDA 524B to connect threat modeling, SBOM, Zero Trust design, and auditable risk governance in heavily regulated environments.

Profiles and credentials

External destinations that add institutional context, code visibility, or speaker credentials.

Lab Website

Current doctoral lab at National Yang Ming Chiao Tung University.

GitHub

Code, prototypes, and the implementation side of ongoing research.

LinkedIn

Professional profile for longer-term connection and external context.

CYBERSEC Speaker Profile

External conference speaker profile for the featured 2026 session.

Official Session Page

Official event listing for the medical cybersecurity breakout session.

Contact

I welcome thoughtful conversations around AI agents, IDE-like agent systems, trustworthy AI, speech and language systems, and deployment in security-sensitive or regulated environments.

The best route for collaboration, speaking invitations, research discussions, and technically specific inquiries.

Email

cre062400@gmail.com
Email Jason Open contact page

Last updated May 7, 2026