Building pipelines for large-scale data processing and analysis. Turning OTLSM images into something the human eye can appreciate and computer algorithms can learn from. On the bleeding edge of innovation, making the impossible possible one research question at a time. Designing scalable, user-friendly scientific computing software for microscopy controls and fast OTLSM data viewers with a little flair and fun. Laying the groundwork for automated ROI detection.

Part of a team of three people who led the development of a highly technical microscopy control software GUI using PyQt5, demonstrating rapid adaptation and skill acquisition in a previously unfamiliar domain.● Played a full-stack role in the software development and design of the unified microscopy control software for the company's patented open-top light-sheet microscope.● Supported image analysis by contributing to image preprocessing tasks, including stitching, registration, and tiling, optimizing the quality of scientific imaging data.● Learned to identify and troubleshoot critical imaging challenges such as autofluorescence and poor signal-to-noise ratio, ensuring high image quality standards for client projects.● Proficient in a suite of imaging and analysis software, including Big Stitcher, Fiji, Nepari; adept at setting up Linux-based data processing environments, utilizing GPU compute, and applying Aivia for advanced image analysis.● Acted as a field service engineer, undertaking a vital collaboration project with a pathology laboratory in Puerto Rico. Successfully repaired their microscope, constructed a high-performance computer workstation.

Interior designer specializing in accessible, maintainable habits for plant lovers and colorful people everywhere.

Using technology to advance scientific discovery. Recent graduate actively pursuing personal projects, gaining certifications, and seeking full-time employment. Dedicated to continuous learning and professional growth, leveraging independent projects to further develop skills and expertise in preparation for a successful career.As a freelancer, I am dedicated to supporting companies and individuals in the field through various tasks, including grant and report writing, generating tools for data analysis, prototyping, and other ad hoc research engineering needs.

Developed machine learning/computer vision datasets to support training algorithms for real-time object identification in the surgical scene.Prototyped a novel data processing pipeline and built various tools to parse data-large datasets of biomedical images.Used various ML packages such as YOLOv5 and Mask R-CNN, depending on the use case. Biomedical image segmentation of the surgical scene through Proprio’s proprietary software, Blender, 3D-Slicer, Point-Cloud data rendering and analysis, and developing using open-source [Scalabel] software.

Research Assistant at Proprio Vision. Using machine learning and computer vision to improve medical science. Supported and took an active role in Proprio's 510(k) submission. Conducted formative, summative, usability, and design validation and verification research. Wrote a comprehensive literature review on use errors in open posterior navigated spine surgery.Supported data activities by creating data collection tools from scratch and optimizing pre-established methods. Coordinating BSL-2 wet labs with human cadaveric specimens. Conducted internal user experience research during development stages of our Head Mounted Display.

Performed anterograde neuronal tracing using Golgi tracing techniques.Neurohistology research on the nucleus rotundus, a thalamic nucleus processing visual information in pigeons. Projects include histology of pigeons' visual cortex using tracing techniques to corroborate neurosynaptic boundaries. Assessing neurophysiological research findings in collaboration with previous literature.Golgi-staining and preparing slices of brain tissue.Shadowed experimental pigeon neurosurgery.

Co-teach class, organize and create programs for students of color, grading, host office hours, facilitate both small and large group discussion for a class of 50 students. Provide support to enable leadership success in underrepresented populations.

Lab manager, Research Assistant, Study Lead, IRB Writing, Research Project Design