Email:
yuchengt at nvidia dot com
yucheng.tang at vanderbilt dot edu
I am a research scientist at Nvidia.
I work on a wide range of challenges in computational and efficient healthcare AI
including multi-modal models, efficient medical VLMs, autonomous medical agents/robots, AI infrastructure and their translational research to
clinical.
From 2022 to 2025, me and my colleagues helped popularize healthcare AI framework: Project MONAI,
my works featured Efficient Foundation Models:
SwinUNETR and
VISTA3D,
Generative Models:
MAISI,
MedSegFactory,
Med AI Data Infra: TouchStone/BodyAtlas,
and Medical VLMs:
VILA-M3.
I'm now leading active projects on reasoning model for medical (RL, CoT) and efficient computing for medical: INT4/8 Post-Training Quantization,
FP4/FP8 Quantization-Aware Training and deployment inference engine.
Before Nvidia, I spent great time at Vanderbilt University
under Prof. Bennett Landman for PhD.
I also worked at Siemens Healthineers
as an AI research intern.