卓 孙
Digital Health Product and Solution Owner GI&Onco @ Takeda
About
领域与技能: 懂医学,也懂算法。能协助医生申请项目,也能发掘临床需求。 传统与现代: 了解传统方法,也了解深度学习。 广度与深度: 分割,配准,识别,预测均有涉猎,主要为神经影像和数字病理领域。每日跟 踪 Arxiv 上最新进展。 研究与应用: 能读写论文,也能深入产品开发。
China
Beijing
Pharmaceuticals
图像配准, 机器学习, 数据科学, 项目管理, longitudinal modeling, 神经科学, 人工智能, 科学写作, 数字病理学
Experience

Digital Health Product and Solution Owner GI&Onco
中国 北京市
Lead the Development of Intestinal Ultrasound(IUS)Image Analysis tool for IBD patients and Clinical usage in hospital (with local vendor) Technical owner for TAK-279 digital tools adaptation to China (with Takeda Global Digital Team) Digital Health Demo development of internal tools for GI&Onco TA

Principal Digital Health AI Scientist
中国 北京市
1. Develop tools in AWS for validation and robustness testing for TROP2 QCSa, with PMB team (UK) 2. Modeling slide thickness effect on QCS result , with PMB team (UK) 3. Validate of HER2 QCS on China Real world sample (BC&GC), with support from TM team (Munich) 4. Technical guide and internal validation of Vocal Biomarker for COPD screen (with local vendor) 5. Develop LLM based clincal trial landscaping and literature survey tools for internal physician Note: Quantitative Continuous Scoring (QCS) is a predictive biomarker for ADC response, using IHC digital slides

Director of Digital Pathology
Fosun Aitrox
中国 上海市
1. Lead a small team of AI engineers to develop AI tools for Histopathology and Cytopathology image analysis; 2. Provide technical materials for registration of a Class III medical device in National Medical Products Administration (NMPA) 3. Repidly reponse to end user's unmet needs and update Digital Pathology model for deployment

Visiting Researcher
Institution of automation, Chinese Academy of Science, Beijing
中国 北京市
Integrate sparsity learning in AD diagnosis to learn an interpretable model. Methodolgy and results published in SPIE and NeuroImage

Research Internship
Philips Research
尼德兰 北布拉班特 埃因霍温
AD classification based on registration information in T1 MRI
卓 孙's Contact Information
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