Shuo Wang Email & Phone Number

California, United States

• Serve as AI/CV expert in implementing software development life-cycles for computer vision data science products
• Develop innovative image analyzing methods for 3-dimensional images such as 3D images from light-sheet fluorescence microscope and confocal microscope
• Provide AI/VR consultancy to pathologists
• Shape and develop new AI, ML, CV, VR and other Data Science initiatives
• Partner with leaders and peers across functions to shape new AI, ML, CV, VR solutions and operations
• Extract insight from complex, unstructured medical image and videos to improve drug discovery and healthcare

• Developed practical, efficient, and dependable software solutions for diverse space science research applications, employing Python and MATLAB
• Analyzed a combination of satellite and radar data
• Successfully implemented a 3-dimensional reconstruction method based on multi-layer 2-dimensional image data and model
• Conducted in-depth analysis of 4-dimensional spectro-polarimetric image data, which could be reduced to spectral images and polarized images, using machine learning
• Applied advanced techniques in computer vision, including proficient background removal methods

• Designed and implemented tools to solve inverse problems using optimization techniques (machine learning)
• Engineered a robust multiple stage data pipeline, transforming raw image data into physical parameters, leveraging Python, NumPy, SciPy, Scikit-image, and Matplotlib
• Executed comprehensive image data processing, including cleaning, denoising, calibration, registration, reduction, Fourier transform, inversion, and detailed analysis. Implemented a sophisticated 3-dimensional.
• Two observation proposals for the DKI Solar Telescope, the world largest solar telescope, have been accepted, with me serving as the Principal Investigator
• Utilized high-performance computing servers to analyze image data, ensuring efficient and accurate results.
• Provided mentorship to a PhD student, imparting expertise in scientific image processing and analysis

• Conducted the analysis of time-sequenced multi-layer image data for space weather prediction utilizing Python, NumPy, and Matplotlib
• Applied advanced techniques including registration, feature tracking, flow tracking, rotation tracking, and Fourier transform to interpret time-sequenced images from multiple sources
• Contributed to space weather prediction initiatives by employing Support Vector Machine (SVM, machine learning) and conducting feature extraction
• Delivered an invited talk in the Second Flare-Forecasting Comparison Workshop. Showcased findings and the methodology for predicting space weather through image feature extraction and SVM
• Guided graduate students through mentorship, providing comprehensive training in image processing and analysis skills

Instructed Phys 103A – General Physics Laboratory, 111A – Physics I Laboratory, 202A – Astronomy and Cosmology Laboratory, Tutored Phys 111 – Physics I

Beijing, China

Maintained www.keithley.vip, including management of the web server and database