Work Experience

AbbVie (Lake County, IL)

Data and Statistical Science

Principal Scientist Nov. 2021 ~ Present

Perform signal processing, imaging analytics and algorithm development support across therapeutic areas. This will include efforts to define data structures, feature extractions, and/or managing external partners so the proper methodologies and scientific rigor are applied to ensure highly accurate and reliable results.

Partner with the Digital Strategy Leads on technical assessments of new and novel technologies, making sure that the digital health tools being implemented in clinical trials not only meet the technical requirements but also align with the clinical evidence and overall strategy.

Collaborate with Data Science and Statistics team to define data collection methods and requirements such that the downstream signal processing and data analysis can be fully enabled and streamlined to produce desired results.

Provide subject manner expertise input on the sections of documentation for regulatory agency meetings and participate in said meetings to address technical questions raised by regulatory agencies.

Houston Methodist Hospital (Houston, TX)

Department of Informatics Development, Corporate IT

Data Scientist Apr. 2018 ~ Oct. 2021

The responsibility of the Data Scientist is to address the best uses of data science and informatics development for providing a competitive advantage or addressing pressing clinical or business problems in HMH operations and care, as well as to communicate informed conclusions and recommendations across an organization’s leadership structure. The data scientist looks at data from a single source, such as electronic medical record, and will most likely explore and examine data from multiple disparate sources and many angles, including the organization’s needs to access and understand clinical, financial, operational, population health, social, behavior, and marketing data. Under the guidance and direction of the head of Informatics Initiative, they will work closely with physicians, care givers, hospital staff, administrators, and other stakeholders to implement projects of clinical and business benefits, decision supports, advanced analytics, outcomes measures, cost reduction, quality improvement, population health management, statistical and advanced modeling techniques to different types of health, cost, and media data, and coordinate with clinicians and developing recommendations and presentations for a variety of audiences and stakeholders.

Houston Methodist Hospital (Houston, TX)

Department of Systems Medicine and Bioengineering

Research Informatics Developer Feb. 2015 ~ Apr.2018

Lead and support the Project Management activities required to deliver business-oriented, valuable and relevant solutions. Familiar with clinical data standards and terminologies, such as ICD9/10, DICOM, HL7, etc, as well as NLP (natural language processing). Interact with the customers/collaborators, e.g., clinicians, nurses, hospital IT, quality, and administration, in designing cost-effective clinical informatics solutions.

Accountable for utilizing a combination of programming and analytical skills to formulate/define system scope and objectives for assigned projects and design and maintain complex application systems, within the Health System. Data analysis using software solutions; design and implementation of graphic displays for visualizing queried results, including design interfaces of web, smart phone, and other mobile devices.

Collaborate with web development and bioinformatics core teams to solicit/exchange technical information and help to facilitate/ensure the development, maintenance and improvement of required software and database systems analysis and management.

Houston Methodist Hospital (Houston, TX)

Biomedical Image Computing Lab, Department of Systems Medicine and Bioengineering

Postdoctoral Fellow Jan. 2011 ~ Jan. 2015

Key researcher and developer of the interventional guidance systems for lung cancer diagnosis, staging, and treatment responsible for extending over fifteen years of university research, including the subject of my PhD dissertation, into innovative commercial products. Lung cancer is the leading cause of the cancer death in United States and worldwide. By providing interventional assistance for percutaneous surgical procedures, my colleagues and I are dedicated to providing a complete solution for planning and guiding lung intervention, so as to help physicians improve surgical performance and clinical yields; and patients avoid unnecessary radiation exposure and surgical procedures and increase survival rates. The percutaneous guidance technology has been adopted by physicians or fellows in the United Stated in animal trials and is heading to clinical trials on human.

  • Lead design engineer / developer for image processing and visualization algorithms

  • Minimally Invasive Multimodality Image-Guided (MIMIG) system, with EM-navigation and optical imaging (microscope), for planning and guiding percutaneous lung needle biopsy, supported by the Cancer Prevention and Research Institute of Texas (CPRIT)

  • Respiratory motion analysis for compensation of lung motion in surgical procedures

  • Pattern analysis of optical images derived from microscope with contrast agent for on-the-spot tumor diagnosis

  • 3D segmentation of human and animal airway tree in CT chest images

  • Statistic patient respiratory model learning and patient-specific respiratory modeling

  • Macro- and micro- image registration for multi-scale and multi-modality image guidance

  • Principal researcher and developer of 3D microscopic neuron/cell image computing and analysis software

  • Collaborating design engineer / developer

  • Collaborated with engineering experts to develop enhancements/new concepts of the interventional guidance systems

  • Work closely with radiologists at the Methodist Hospital, Texas Medical Center, Houston, TX, to execute the studies and seek feedbacks

  • Evaluate the performance of EM-guidance in percutaneous lung intervention

  • Collect 4D CT data to improve statistic respiratory model

  • Collect patients’ skin motion data to validate respiratory motion compensation

The Methodist Hospital (Houston, TX)

The Center for Bioengineering and Informatics (CBI), Department of Radiology

Research Fellow May. 2009 ~ Dec. 2010

  • Implemented or experienced with computer vision / image processing techniques including 2D / 3D image segmentation, enhancement, registration / matching, and object recognition

  • Designed and implemented a unique respiratory signal analysis system to assist respiratory gating technology for radiation therapy

  • Computing and analysis in micro-endoscopic and molecular images

  • Worked with four researchers as a group to improve and maintain a large end-user-driven digital medical imaging software system for planning and guiding percutaneous procedure and surgery

  • Assistant to biologists from the Methodist Hospital in animal experiments of molecular imaging

  • Participated in designing and executing a study that measures the improvement of physician performance as a result of using the semi-automated guidance system