Daniel Leon Email & Phone Number

Seattle, WA, US

Menlo Park, CA, US

- Engineered a data pipeline synchronizing multi-instrument data for wearable device tension analysis, crucial for product configuration decisions.- Implemented Monte Carlo simulations to estimate population-wide knuckle circumference distribution, directly impacting SKU decisions and maximizing market coverage.- Developed a high-performance computing.

Seattle, WA, US

• Led a project analyzing medical chat data between patients and providers. o Performing sentiment analysis, topic modeling, and other NLP techniques to identify trends over time.
• Developed AI chatbot for integration into mobile-healthcare app for monitoring tuberculosis drug adherence, using prompt engineering, chain-of-thought reasoning, and a skillfully crafted system message. o Implemented.
• Carried out statistical machine learning analysis for upcoming publication, including cluster analysis using K-means and appropriate statistical tests for different features.
• Developed the DeDx (Data Enhanced Diagnostics) model and pipeline, combining rapid diagnostic test (RDT) results with patient data with machine learning models to significantly improve predictive outcomes for an RDT.
• Developed a Flask tool for numerically modeling the amount of DNA bound to its complement using the NUPACK Python package inside of a Docker container, which is used for experimental design and prediction. o Used the.

Seattle, WA, US

• Developed an at-home diagnostic test for TB drug adherence using computer vision integrated into a smartphone app. The app recognized the aruco marker on the diagnostic cartridge, and aligned the test reading window.
• Led a team of 6 in generating a labeled training dataset of images of RDTs for COVID-19, and went on to develop and train a CNN model to predict the concentration of the covid spike protein antigen in the sample.

Seattle, WA, US

• Developed a computational model for RDT design from first principles, and used the model to successfully design a complex lateral flow device that provides semi-quantitative information about the target concentration.
• Published multiple articles in the fields of computational fluidics and chemical reaction modeling, image processing, and molecular diagnostics.

• Used image recognition software with fluorescence microscopy to evaluate non-fouling abilities of prototype polymers.
• Conducted hypothesis testing on properties of experimental polymer formulations, which led to the renewal of over $0.5MM in Office of Naval Research and DARPA grants.
• Applied polymerization methods including free-radical polymerization, atom transfer radical polymerization, random co-polymers, block co-polymers, and surface functionalization.

Seattle, WA, US

• While facilitating general & organic chemistry lab sessions, became skilled in simply explaining complex concepts to students.
• Streamlined the chemical inventory management system by implementing a spreadsheet using Excel.

- Capable of working in a fast paced environment.- Gained interpersonal relationship skills through direct customer service.- Managed multiple tasks at once while exercising short-term memory.

Bachelor Of Science (B.S.), Chemical Engineering

Minor, Applied Mathematics

Master Of Science - Ms, Applied Mathematics