Experience

Subtle Medical

• United States
• Medical Equipment Manufacturing
• 1 - 100 Employee

• Founder, Scientist and CEO

  • Aug 2017 - Present

  Menlo Park At Subtle, we are developing Deep Learning/AI technologies to improve the quality and efficiency of medical imaging. We currenrly have 2 FDA-Cleares AI software products and multiple product-line in development. We help hospitals and imaging centers to improve radiology workflow and patient experience.



Stanford University

• United States
• Higher Education
• 700 & Above Employee

• PHD

  • Sep 2013 - Sep 2018

  Magnetic Resonance Systems Research Laboratory Focus on Deep Learning applications in medical imaging Defense on Nov 6th, 2017, on topic: Applying Machine Learning and Deep Learning for Improved MRI Acquisition, Reconstruction and Quantification. - PhD in EE, Magnetic Resonance System Research Lab - Advised by Professor John Pauly (EE), worked/collaborated with Professor Greg Zaharchuk (Radiology) and Professor Dwight Nishimura (EE) - Stanford Graduate Fellow (Winston & Fu-mei Fellowship) - Research focused on Machine… Show more Focus on Deep Learning applications in medical imaging Defense on Nov 6th, 2017, on topic: Applying Machine Learning and Deep Learning for Improved MRI Acquisition, Reconstruction and Quantification. - PhD in EE, Magnetic Resonance System Research Lab - Advised by Professor John Pauly (EE), worked/collaborated with Professor Greg Zaharchuk (Radiology) and Professor Dwight Nishimura (EE) - Stanford Graduate Fellow (Winston & Fu-mei Fellowship) - Research focused on Machine Learning and Deep Learning applications in Medical Imaging - Data-driven algorithm for constrained image reconstruction and analysis for MRI, PET, etc.

• Student

  • Sep 2012 - Sep 2018

  United States - MS/PhD program @ EE - Stanford Graduate Fellow (Winston & Fu-mei Fellowship) - Specialized in Imaging, Medical Electronics & Healthcare Technologies - Worked as a rotation student in Magnetic Resonance System Research Lab



Polarr

• United States
• Technology, Information and Internet
• 1 - 100 Employee

• Co-Founder

  • Jul 2014 - Jan 2017

  Palo Alto Make the world prettier, At Scale! https://polarr.co - Lead the R&D of the next generation Photo Curation and Retouching Technology - Professional Photo Editing tool on mobile and web (Featured by Apple, Google) - Deep Learning powered Photo Curation and Organization services - Efficient GPU based Personalized Rendering and Stylizing Pipeline - Everything related to Image Processing, rendering and smart algorithms (Data Mining, Deep Learning, Computer Vision, Image Processing,… Show more Make the world prettier, At Scale! https://polarr.co - Lead the R&D of the next generation Photo Curation and Retouching Technology - Professional Photo Editing tool on mobile and web (Featured by Apple, Google) - Deep Learning powered Photo Curation and Organization services - Efficient GPU based Personalized Rendering and Stylizing Pipeline - Everything related to Image Processing, rendering and smart algorithms (Data Mining, Deep Learning, Computer Vision, Image Processing, Backend) - Solving Photo/Data/Web problems with Python, C++, Javascript, Coffeescript, Node.js, MySQL, OpenGL, WebGL - App Store's Top Paid OSX app - App Store's "Best of 2016" OSX photo app - App Store's "Best of 2015" iOS photo app - StartX F14 Company - Innovation Award Winner (SVIEF 2014) - Best Chromebook App 2014 Show less



Qualcomm

• United States
• Telecommunications
• 700 & Above Employee

• Interim Engineering Intern

  • Jul 2013 - Sep 2013

  Santa Clara - Qualcomm R&D (Qualcomm Research Silicon Valley) - Computer Vision, Computational Imaging, HCI - Developed Software Platform and Algorithms for optical based gesture/finger detection and localization. - Presented two posters in technical showcase



Philips

• Netherlands
• Hospitals and Health Care
• 700 & Above Employee

• Research Intern

  • Mar 2012 - Aug 2012

  Beijing - Research Intern on MRI - Worked on reconstruction algorithms of fast imaging - Exploited multi-channel multi-contrast information for fast imaging scheme of MRI - First-author Paper published (https://depts.washington.edu/iscrm/sites/default/files/MRMFeb15.pdf) - Research featured on MRM journal cover (Volume 73, Issue 2, pages 523–535, February 2015, http://onlinelibrary.wiley.com/doi/10.1002/mrm.v73.2/issuetoc) - Filed two US patents and drafted one technical-note



Tsinghua University

• China
• Higher Education
• 700 & Above Employee

• Student

  • Aug 2008 - Jul 2012

  -Graduated from Dept of Biomedical Engineering, School of Medicine, Tsinghua Unversity - 2012 Outstanding Graduates, 2012 - 2012 Outstanding Undergraduate Thesis Winner, 2012 - Tsinghua 129 Scholarship, 2010~2011 - First Grade Scholarship, 2009~2010 - National Scholarship, 2008~2009



Stanford University

• United States
• Higher Education
• 700 & Above Employee

• Summer Research Intern

  • Jul 2011 - Sep 2011

  United States - UGVR Summer research program - Directed by Prof KC Huang, Collaborated with Tim Lee - Worked on Super Resolution Imaging techniques - Explored in-vivo structure and single molecular dynamics of E.Coli MreB using PALM(Photo-Activation-Localization-Microscopy)/STORM - Quantified single molecule dynamics using statistical and graphic algorithms



Washington University in St. Louis

• United States
• Higher Education
• 700 & Above Employee

• Independent Researcher

  • Sep 2010 - Dec 2010

  - Exchanged in Washington University - Worked as an independent research on photo-acoustic imaging in Dr. Lihong Wang's lab, collaborating with Dr. Song Hu - Implemented photo-acoustic imaging on ischemia study - Summarized the results in several conference papers