Ethan Evans Email & Phone Number

San Diego, California, United States

Building machine learning solutions for Navy support systems.

Montrouge, Île-De-France, France

Applied statistical programming to support clinical research on the resolution and persistence of allergy. Created visualization tools using R Shiny and JMP to assess the socioeconomic impact of allergy across demographics.

Harnessed EHR data to identify feature importance and risk factors for patient readmission for the purposes of J&J product development. Used lasso classifiers and random forest models to reach accuracy of 86%.

New York, New York, United States

Rebuilt the database structure for career management tools in HR to eliminate redundancies and automate cleaning; anticipated savings ~$1M yearly in maintenance and employee retention. Leveraged deep learning frameworks like PyTorch and NLP models like Word2Vec, BERT, and TF-IDF to cluster skills and provide suggestions for job roles. Used Watsonx.AI Large Language Models to extract accounts receivable terms from contract data in IBM hackathon. Engaged stakeholders in communications regarding interpretability of model output.

Seattle, Washington, United States

Utilized the Washington State Hospitalization Database to analyze the distribution and burden of colorectal cancer. Conducted ROC analysis to assess the diagnostic utility of peptides in peanut allergy prediction. Visualized cumulative incidence and hazard rates of patient diabetic ketoacidosis (DKA) using R Shiny, pROC, rms, ggplot2, and echarts4r. Co-authored four publications, providing all analytic and graphic results (see publications).

Seattle, Washington, United States

Deployed R Shiny web applications to visualize algorithmic predictions of peanut allergy severity and cumulative dose thresholds based on biomarker inputs. Worked closely with teams of immunologists and statisticians on literature reviews and analysis updates.

Davidson, North Carolina, United States

Developed enterprise-grade software to streamline capital allocation planning for several healthcare companies whose annual capital expenditure exceeds $100M. Led back-end development and data manipulation using R, JavaScript, MySQL, and AWS S3/EC2. Consulted with our small team and local start-ups to create R Shiny data dashboards to display operational efficiency.

Winston-Salem, North Carolina, United States

Generated SQL script to create mappings between Unified Medical Language System drug coding vocabularies. Designed an R Shiny tool to display these drug mappings and codes to aid future drug data research. Produced and visualized descriptive statistics from electronic health record and clinical trial data using R and Python. Presented projects to mentors and professionals at Wake Forest Biomedical Engineering 2019 Summer Symposium.

Winston-Salem, North Carolina, United States

Master Of Science - Ms, Data Science

Activities and Societies: Data Science Institute, Data Club

Bachelor Of Science - Bs, Computer Science

Activities and Societies: Minor in Public Health, Analyst at 'Cats Stats Sports Analytics, Student Developer at the Jay Hurt Hub.