Ya-Chen Chuang Email and Phone Number
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Ya-Chen Chuang personal email
Demonstrated extensive experience in software development, computer vision, deep learning segmentation models, whole slide image (WSI) analysis algorithm development, MRI image processing, spatial biology image and data analysis, in vivo medical imaging, in vitro bioassays, and rodent surgery, along with proficiency in a wide range of microscopy techniques for live cell and single cell imaging. Deeply passionate about leveraging cutting-edge medical and biological imaging and image processing methodologies to drive positive outcomes in the neuroscience, biomedical, and pharmaceutical industries.Key technology skillsets:• Professional Skills: software development, graphical user interfaces (GUIs), machine learning, deep learning, supervised and unsupervised AI models, WSI analysis and algorithm development, MRI image registration and 3D segmentation, electron and light microscopy, in vitro and in vivo imaging, in vitro bioassay, rodent surgery• Programming Skills: Python, MATLAB, Git, PyTorch, TensorFlow, tkinter, OpenCV, Scikit-image, scikit-learn, NumPy, Pandas, StarDist, SimpleITK, Linux, Bash, GUI.• Image Processing Software: FreeSurfer, SPM, 3D Slicer, ITK-SNAP, Imaris, ImageJ (FIJI), HALO, VisioPharm, QuPath.• Experienced with Image Modalities: T1 \& T2 MRI, MRA, 4D Flow MRI, Cine MRI, OCT, ultrasound, fluorescent and bright field images, and various biomedical imaging formats such as DICOM, NIfTI, nrrd, OME, CZI, QPTIFF.• Others: LaTeX, GraphPad Prism, Glencoe OMERO, statistical analysis.
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GenentechSouth San Francisco, California, United States -
Imaging Ai ScientistBio-Techne Oct 2022 - PresentMinneapolis, Minnesota, Us- Developed innovative image analysis software that automates a workflow typically performed manually in biopharma. This digital pathology tool features a user-friendly graphical interface, integrates multiple pretrained AI models, and includes dedicated post-processing algorithms for multiomics image analysis. The software streamlines complex tasks, offering a more convenient solution for researchers and pathologists.- Engineered advanced deep learning models for detecting fluorescent and chromogenic RNAscope signals. Implemented comprehensive pre- and post-processing algorithms in Python, including image registration, background subtraction, and statistical analysis of signal detection. These innovations were specifically tailored for RNAscope multiomics whole slide image (WSI) analysis and seamlessly integrated into the image analysis software, enhancing its capabilities and accuracy.- Developed WSI analysis pipelines for digital pathology using HALO, VisioPharm, QuPath, and data analysis using customized Python scripts.- Worked closely with pathologists, laboratory scientists and imaging scientists for customer research projects, from academia to pharmaceutical and biotechnology industries. -
Postdoctoral ScholarUniversity Of Washington Jan 2022 - Sep 2022Seattle, Wa, Us- Engaged in comprehensive brain biomechanics and neuroscience research spanning multiple scales. Employed MR image processing and rigorous statistical analysis to study aneurysms and Chiari malformation. . Contributed two publications to the field.- Developed machine learning algorithms, including SVM, logistic regression and K-means clustering, as well as a U-NET based 3D segmentation for MRI images to explore the link between morphometric factors and symptomatology in the context of Chiari malformation. Contributed one first author publication to the field.- Provided support in the composition of grant proposals and the management of laboratory operations. -
Postdoctoral FellowStevens Institute Of Technology Aug 2020 - Jan 2022Hoboken, Nj, Us- Utilized advanced techniques such as live cell imaging via AFM and confocal microscopy, as well as ex vivo histology of mice brain tissue, combined with rigorous statistical analysis. Investigated topics including trauma-induced brain injuries and brain development. Contributed one first author publication to the field.- Assisted with grant proposal writing and lab management.- Advised graduate students for their research studies. -
Microscopist, Graduate AssistantThinc (Thermomechanical & Imaging Nanoscale Characterization) Core Facility @Aertc Jan 2017 - Jan 2020- Developed and modified protocols for LM and EM biological and preclinical sample preparations.- Conducted sample preparation and analytical instrumentations including TEM, (3D) FIB-SEM, AFM, confocal microscopy, and wide field microscopy for facility users from academic institutes and regional industry.- Assisted facility director in providing training, worked closely with facility users, developed biological sample preparation protocols, provided guidance for choosing adequate sample preparations and characterization methods to reach users' expectations.
Ya-Chen Chuang Skills
Ya-Chen Chuang Education Details
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Stony Brook UniversityMaterials Science And Chemical Engineering -
National Cheng Kung UniversityChemical Engineering
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National Cheng Kung UniversityChemical Engineering
Frequently Asked Questions about Ya-Chen Chuang
What company does Ya-Chen Chuang work for?
Ya-Chen Chuang works for Genentech
What is Ya-Chen Chuang's role at the current company?
Ya-Chen Chuang's current role is AI scientist | Deep learning｜Software development at ACD/Bio-Techne.
What is Ya-Chen Chuang's email address?
Ya-Chen Chuang's email address is yc****@****ton.edu
What schools did Ya-Chen Chuang attend?
Ya-Chen Chuang attended Stony Brook University, National Cheng Kung University, National Cheng Kung University.
What skills is Ya-Chen Chuang known for?
Ya-Chen Chuang has skills like Microsoft Office, Microsoft Excel, Microsoft Word, Powerpoint, Public Speaking, Research, Polymer Science, Polymer Nanocomposites, Electrospinning, Rheology, Chemical Engineering.
Who are Ya-Chen Chuang's colleagues?
Ya-Chen Chuang's colleagues are Leann Pipkins, Maxwell Gold, Ann Blundell Sheher, Luis Perez, Baoshu Z., Fang Sunny Liu, Matt Allen.
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