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Zhen Yang

🌟 Summary: Dedicated professions in developing and implementing machine learning solutions to address critical needs within the healthcare ecosystem.... | Houston, Texas, United States

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Zhen Yang’s Location Houston, Texas, United States

Zhen Yang’s Expertise 🌟 Summary: Dedicated professions in developing and implementing machine learning solutions to address critical needs within the healthcare ecosystem. Experienced in building intelligent systems, leveraging large-scale ML frameworks, and pioneering generative AI applications in healthcare. 🚀 Experience Highlights: Intelligent Healthcare Navigation: Spearheaded the development of an intelligent search engine to guide patients to suitable doctors, hospitals, and specialties. Integrated customized features including healthy tips and follow-up medical consultation guidelines, enhancing the patient experience and improving healthcare accessibility. Urgency-based Prioritization: Engineered an urgency-based ranking system to prioritize medical requests, ensuring timely responses and efficient resource allocation within the healthcare system. This initiative optimized workflow management and enhanced overall operational efficiency. Generative AI for Medical Imaging: Led the development of a generative AI model to transform diagnostic information across different imaging modalities, facilitating seamless data translation and interoperability. This breakthrough technology accelerated diagnostic processes and enabled more informed clinical decision-making. Multimodal Data Fusion: Pioneered the fusion of multimodal healthcare data, including demographic information, medical history, descriptive symptoms, pathological images and advanced PET/CT/MRI images, into a unified feature set. Leveraged deep neural networks to analyze complex datasets and deliver accurate diagnoses, thereby advancing precision medicine initiatives. 💼 Open to Opportunities: Passionate about exploring new challenges and opportunities to leverage my expertise in large-scale ML systems and generative AI to drive meaningful impact. 🔗 Let's Connect: Interested in discussing potential collaborations, career opportunities, or industry insights? Feel free to reach out and connect!

Zhen Yang’s Current Industry Target

Zhen Yang’s Prior Industry
Houston Methodist | Target

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Work Experience

Target

Sr. Data Scientist - Search (NLP, Applied ML, Information Retrieval)

Mon Apr 01 2024 00:00:00 GMT+0000 (Coordinated Universal Time) — Present

Houston Methodist

Senior Data Scientist

Mon Nov 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon Apr 01 2024 00:00:00 GMT+0000 (Coordinated Universal Time)

Houston Methodist

Data Scientist

Sat Apr 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Oct 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time)

Skills

Languages

Zhen Yang Email Addresses

[email protected] Email

Zhen Yang Phone Number

No phone number available. Phone number

FAQ About Zhen Yang

Zhen Yang is located at
Houston, Texas, United States

Zhen Yang is a
🌟 Summary: Dedicated professions in developing and implementing machine learning solutions to address critical needs within the healthcare ecosystem. Experienced in building intelligent systems, leveraging large-scale ML frameworks, and pioneering generative AI applications in healthcare. 🚀 Experience Highlights: Intelligent Healthcare Navigation: Spearheaded the development of an intelligent search engine to guide patients to suitable doctors, hospitals, and specialties. Integrated customized features including healthy tips and follow-up medical consultation guidelines, enhancing the patient experience and improving healthcare accessibility. Urgency-based Prioritization: Engineered an urgency-based ranking system to prioritize medical requests, ensuring timely responses and efficient resource allocation within the healthcare system. This initiative optimized workflow management and enhanced overall operational efficiency. Generative AI for Medical Imaging: Led the development of a generative AI model to transform diagnostic information across different imaging modalities, facilitating seamless data translation and interoperability. This breakthrough technology accelerated diagnostic processes and enabled more informed clinical decision-making. Multimodal Data Fusion: Pioneered the fusion of multimodal healthcare data, including demographic information, medical history, descriptive symptoms, pathological images and advanced PET/CT/MRI images, into a unified feature set. Leveraged deep neural networks to analyze complex datasets and deliver accurate diagnoses, thereby advancing precision medicine initiatives. 💼 Open to Opportunities: Passionate about exploring new challenges and opportunities to leverage my expertise in large-scale ML systems and generative AI to drive meaningful impact. 🔗 Let's Connect: Interested in discussing potential collaborations, career opportunities, or industry insights? Feel free to reach out and connect! Target

Zhen Yang currently works in the
Target

Zhen Yang specializes in
🌟 Summary: Dedicated professions in developing and implementing machine learning solutions to address critical needs within the healthcare ecosystem. Experienced in building intelligent systems, leveraging large-scale ML frameworks, and pioneering generative AI applications in healthcare. 🚀 Experience Highlights: Intelligent Healthcare Navigation: Spearheaded the development of an intelligent search engine to guide patients to suitable doctors, hospitals, and specialties. Integrated customized features including healthy tips and follow-up medical consultation guidelines, enhancing the patient experience and improving healthcare accessibility. Urgency-based Prioritization: Engineered an urgency-based ranking system to prioritize medical requests, ensuring timely responses and efficient resource allocation within the healthcare system. This initiative optimized workflow management and enhanced overall operational efficiency. Generative AI for Medical Imaging: Led the development of a generative AI model to transform diagnostic information across different imaging modalities, facilitating seamless data translation and interoperability. This breakthrough technology accelerated diagnostic processes and enabled more informed clinical decision-making. Multimodal Data Fusion: Pioneered the fusion of multimodal healthcare data, including demographic information, medical history, descriptive symptoms, pathological images and advanced PET/CT/MRI images, into a unified feature set. Leveraged deep neural networks to analyze complex datasets and deliver accurate diagnoses, thereby advancing precision medicine initiatives. 💼 Open to Opportunities: Passionate about exploring new challenges and opportunities to leverage my expertise in large-scale ML systems and generative AI to drive meaningful impact. 🔗 Let's Connect: Interested in discussing potential collaborations, career opportunities, or industry insights? Feel free to reach out and connect!