Shih-Yao (Mike) Lin, Ph.D.
Applied AI Scientist | Post-Training · Agentic Systems · Multimodal AI
Applied AI Scientist | Post-Training · Agentic Systems · Multimodal AI
I’m a Senior Applied Scientist at Microsoft CoreAI, where I work on multi-agent systems, agentic AI, and foundation-model post-training.
Previously, I was a Senior Applied Scientist at Amazon, where I developed multimodal large language models and vision-language systems for video understanding and decision-centric applications, including action recognition, captioning, multimodal safety, and efficient video reasoning.
Earlier in my career, I was a Senior Research Scientist at Sony, developing real-time 3D character motion systems for interactive environments. At Tencent America, I worked on human pose estimation, video understanding, and motion intelligence. I began my industry research career as a postdoctoral researcher at Bosch, focusing on sensor-driven 3D hand gesture recognition.
My research focuses on decision-centric multimodal intelligence: building AI systems that can selectively perceive, efficiently reason, and reliably act. My current interests span LLM post-training, agentic AI, multimodal foundation models, and efficient multimodal reasoning, with the goal of bridging foundation models and real-world interaction to build scalable, grounded, and capable AI systems.
Photo: Mount Rainier — a reminder to navigate complexity, maintain perspective, and keep aiming higher.
2026-08: Published “When Does RL Actually Help Fine-Tuning?” on the Microsoft Foundry Blog.
2026-03: Joined Microsoft as a Sr. Applied Scientist
2026-03: One paper accepted by ICPR'26
2026-01-07: One paper was accepted by WACV'26 Workshop
2022-08-08: Join Amazon as an Applied Scientist
2022-04-22: One paper was accepted by IJCAI'22
2021-10-15: One paper was accepted by BMVC'21
2021-09: Join Sony as a Sr. Research Scientist
2020-11-02: Two papers were accepted by WACV'21
2020-07-25: One paper was accepted by ACM Multimedia'20
2019-12-08: Our Artificial intelligence apps for Parkinson's patient evaluation was reported by BBC.
2019-09-16: One paper was accepted by WACV'20 (First Round Early Accepted)
2019-07-01: One paper was accepted by BMVC'19
2019-05-09: We launched our Parkinson’s AI clinical trial in London, UK, and it was reported by Parkinson’s Life
2019-05-06: Our Parkinson’s AI diagnosis program was reported by Financial Times [PDF]
2019-01-21: Our work entitled "A Pilot Study to Evaluate the Severity of Motor Dysfunction in Parkinson's Disease Based on AI Video Analysis" has been registered in US NIH-registered Clinical Trial
2018-12-11: Our PD evaluation system was demonstrated at T-Day exhibition and it was reported by Sina and Weixin (Chinese)
2018-12-08: Our AI-Assisted PD motion assessment system was demonstrated at PDMD'18 in Hong Kong and it was reported by Synced and HealthcareWeakly.
2018-10-08: Our Parkinson's patient evaluation and grading system was reported by BBC, Bloomberg, Forbes.
2018-09-03: One paper was accepted by BMVC'18