Erin Craig

PhD Candidate at Stanford University

Erin Craig is a PhD candidate in Biomedical Data Science at Stanford University, focusing on the development of algorithms and software to solve critical healthcare problems. Her research aims to enhance understanding of how the body responds to illnesses, particularly through a method known as multiple instance learning, which helps identify immune responses and diseased tissue from biomedical data.1 2

Educational Background

PhD Candidate: Stanford University, expected completion in 2025.
Master of Science: Data Science, New College of Florida (2015–2017).
Bachelor of Arts: Mathematics, New College of Florida (2005–2009).

Professional Experience

Erin has held various roles that combine her expertise in data science with practical applications in healthcare:

Data Science Consultant: Analyzing Medicare data for fraud investigations.
Senior Software Engineer: Developed educational technologies at Wolfram|Alpha, including step-by-step math solutions.
Researcher: Worked on improving healthcare delivery through electronic medical records and deep learning techniques.3 4

Research Interests

Her work emphasizes creating tools for clinical decision-making and enhancing the patient-clinician relationship. She is also involved in teaching and community engagement initiatives within the field of data science.2 4

Extracurricular Activities

In addition to her academic pursuits, Erin has a passion for dance and has performed professionally across various cities. She has also contributed to organizing events related to data science and women in technology.4 5

Erin Craig's blend of technical skills, research focus, and commitment to improving healthcare positions her as a promising figure in the field of biomedical data science.