Winnie Leung Email & Phone Number

Seattle, Washington, United States

• Converted open-source image processing deep neural network PyTorch model from Python into C# for inference
• Optimized cell segmentation pipeline via segmentation parameters, model selection, and speed optimization. When necessary, created new CNN models in Python with transfer learning; pre-processed and annotated ”ground.
• Designed and implemented fluidics workflow sequences for new product launch (SMI platform).
• Refactored existing architecture and implemented error thresholds and error handling to report up sensor data for validating success / failure of fluidics system
• Hosted numerous training sessions, including: GeoMx automated imaging and fluidics workflows, CosMx image segmentation pipeline, re-segmentation tool, and segmentation model training. Trained new team members and.

• Designed and implemented workflow sequences with error escalation architecture in C#
• Designed and implemented automated error recovery sequences
• Refactored image processing algorithms to support unit tests based on defined requirements and tolerances
• Created unit tests for batch testing images to improve sustainability
• Set up support escalation structure for new DSP (Digital Spatial Profiling) product launch
• Evaluated potential risks and failure modes of workflow designs and executed failure path testing, recording and documenting test results

Greater Seattle Area

• Support hardware verification tests for new DSP (Digital Spatial Profiling) product launch
• Designed, documented, and implemented workflow scripts in XAML/Visual Studio
• Designed test plans and executed unit testing of designed workflow scripts, recording and documenting test results

Greater Seattle Area

• Developed workflow in Python to visualize high-dimensional data from features extracted from drug-perturbed cell lines for Quantitative Cell Biology. Generated static and interactive graphs in Python for data.
• Carried out statistical analysis in RStudio with feature data
• Analyzed 3D microscopy images in ImageJ and R to quantify relative protein expression level in cells between different treatment groups and presented results in Seattle Cell Science Symposium 2017
• Developed, tested, and implemented macro script (IronPython) to automate pipeline workflow

University Of Washington

• Set up new BSL-2 laboratory space and implemented GMP/GTP for production, sterilization, and equipment and materials management
• Drafted and implemented Standard Operating Procedure system with Quality Assurance and Quality Control system following GTP and GLP with FDA guidelines
• In charge of recruiting, hiring, and training laboratory staff and managed associated training documents
• Implemented workflow for blood processing with patient, sample, and data record/entry. Tested and streamlined process to generate protocols. Tested and validated product
• Reviewed journal articles and generated bi-weekly scientific content/newsletters for interested customers. Trained to communicate scientific material effectively to general public

• Master’s Thesis Title: Effects of Nanotopography on Structural Maturation and Differentiation of Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes
• Drafted and published review article: Human iPSC-derived cardiomyocytes and tissue engineering strategies for disease modeling and drug screening
• Trained to perform immunostaining, flow cytometry, RNA extraction, cDNA conversion procedures
• Presented regularly on experimental findings and journal articles
• Designed, executed, and troubleshoot experiments
• Trained in following different protocols and data recording in various cardiac differentiation methods

• Recruited and prepared for initiation ceremony for new members
• Organizing outreach programs and events
• Organizing community and social events
• Filed club paperwork and documents
• Set up and maintained social page to keep members updated

• Sought and contacted high school teachers to reach out to students with ultrasound modules
• Presented to and communicated with high school students about the engineering/bioengineering field

• Welcomed incoming freshmen at multiple Dawg Daze events
• Registered students, managed/directed crowd, helped event set-ups and clean-ups

Redmond, WA

• Optimized protocol for transfection based on cell density, ratio of DNA to transfection reagent, and different methods of transfections
• Transfected cell lines to produce highly expressed antibodies/reagents
• Selected and expanded clones with software Solentim after stable transfection to produce antibodies for cancer therapeutics
• Learned protein purification process with Protein A Column

• Performed research on different sites in the Possession Sound
• Gathered marine data regularly on water temperature, salinity, dissolved oxygen levels, and plankton samples on a regular basis
• Wrote analysis papers based on the result of data on the state of Possession Sound.

• Tutored student from basic algebra skills to calculus material
• Trained to help students learn independently

Machine Learning Certificate, Artificial Intelligence

3-Quarters Coursework: • Intro to Machine Learning • Advanced Machine Learning • Deep Learning Summary: • Learned and implemented various.

Master Of Science, Bioengineering And Biomedical Engineering, 3.67

Activities and Societies: • Tau Beta Pi Coordinating Secretary• Master’s Thesis Title: Effects of Nanotopography on Structural Maturation.

Bachelors Of Science, Bioengineering, 3.71

Activities and Societies: Tau Beta Pi