Summary
Emilia Gan is a PhD candidate in Computer Science at the Paul G. Allen School, bringing 11 years of experience at the intersection of computing, data analysis, and education. She combines strong quantitative skills with hands-on expertise in data programming and visualization (Streamlit/Dash) developed through research and industry internships. A committed educator, she has lectured and TA'd a wide range of CS courses from data structures to AI, taught college-level statistics and CS, and led international workshops on Python and bioinformatics. Her background spans medicine, materials science, and pathobiology, giving her a rare cross-disciplinary perspective that informs her work in educational technology and CS education. Emilia consistently mentors students and shares knowledge through teaching and curriculum development, aiming to make computing more accessible and evidence-driven.
11 years of coding experience
5 years of employment as a software developer
Master's degree (MS), Pathobiology, Master's degree (MS), Pathobiology at University of Washington
Informatica Feminale Summer 2018, Informatica Feminale Summer 2018 at University of Bremen
BS, Course 3 (Materials Sci & Eng), BS, Course 3 (Materials Sci & Eng) at Massachusetts Institute of Technology
Aarhus Summer University, Scan|Design Summer Study Abroad Fellowship, Aarhus Summer University, Scan|Design Summer Study Abroad Fellowship at Aarhus University
Liberal Arts, 12th grade (high school dual enrollment), Liberal Arts, 12th grade (high school dual enrollment) at The New School
MD, Medicine, MD, Medicine at University of Massachusetts Medical School