Deonte Hall Email & Phone Number

Philadelphia, PA, US

Completing full pre-clinical curriculum at the Perelman School of Medicine.

Working in the Department of Medical Physics to develop and evaluate robust deep learning methods for medical image analysis in cancer response assessment.

Responsible for defining a strategy to ingest, store, and integrate unstructured employee data into existing workflows for Business Intelligence and staffing for new customer requisitions. Leveraged cutting-edge OODMS including MongoDB and Azure CosmosDB for JSON document storage and SQL query. Integrated these new technologies with the organization’s.

Data analysis and database development supporting various contracts in Health IT and Federal Health.Total Force Fitness (TFF): Responsible for analysis and visualization of federal health data. Used Python to develop descriptive statistics, feature comparisons, and a Machine Learning pipeline to generate predictive insight from health data. Leveraged.

Greenbelt, Maryland, United States

Federal Health Business Capture: Evaluated client needs and competitor competencies through market analysis of Federal Health contract data. Created competitor analysis reports and presentations with relevant figures to highlight trends and opportunities for new Federal Health business capture.NASA PAAC IV:Responsible for reviewing and improving Self.

Philadelphia, Pennsylvania, United States

Teaching Assistant for a graduate Bioengineering course focused on developing computational models to investigate research questions relating to developmental biology. Responsible for leading Office Hours and group meetings to assist in design, development, and troubleshooting of computational MATLAB models. Contributed to course organization and grading.

Philadelphia, Pennsylvania, United States

Conducting biomedical research in the Artificial Intelligence in Biomedical Imaging Lab (AIBIL). My research focuses on applications of deep learning applications to medical imaging challenges. During graduate study, authored a Master's thesis on the use of Convolutional Neural Networks (CNNs) for classification and automated disease grading of digital.

Doctor Of Philosophy - Phd, Bioengineering And Biomedical Engineering

Activities and Societies: Fontaine FellowConcentrations: Medical Image Analysis/Computer Vision, Medical informatics

Education record

HHMI-NIH Interfaces Scholar, completing the full preclinical curriculum at Perelman School of Medicine.

Master'S Of Science In Engineering (Mse), Bioengineering And Biomedical Engineering

MSE in Bioengineering, with a research focus on Deep Learning applications in medical image analysis.

Bachelor Of Science (Bs), Biomedical Engineering

Activities and Societies: Rodman Engineering Scholar, Jefferson Public Citizens (JPC) Grant Recipient