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Anna Sappington
Marshall Scholar, Genomic Med @Cambridge & ML @UCL - CS & Bio @MIT
Anna Sappington is an accomplished researcher and student in the fields of computer science, biology, and medicine. She is currently an MD-PhD candidate at Harvard Medical School and MIT, where she is pursuing her PhD in Computer Science, focusing on building biologically-inspired machine learning models.45
Sappington's academic background is extensive:
- She completed her undergraduate studies at MIT, earning a BS in Computer Science and Molecular Biology.12
- As a Marshall Scholar, she obtained two master's degrees: one in Machine Learning from University College London and another in Genomic Medicine from the University of Cambridge.12
Her research interests lie at the intersection of computational biology, machine learning, and genomics.1 Sappington has worked on various projects, including:
- Developing methods to predict evolutionary events using reinforcement learning models inspired by evolutionary biology.2
- Contributing to the Human Cell Atlas project, specifically working on classifying retinal cells.6
In addition to her academic pursuits, Sappington has held several professional positions:
- Research Analyst at Good Data Initiative from October 2020 to October 2021, where she researched topics in healthcare, artificial intelligence, algorithmic fairness, and the passion economy.5
- AI Instructor at Inspirit AI, teaching high school students about AI and machine learning with a focus on social good and ethical AI.35
- Resident Tutor at Harvard University's Quincy House since July 2022.5
Sappington has received numerous accolades, including being named a Hertz Fellow, a Marshall Scholar, and a 2018 Barry M. Goldwater Scholar.26 She is also known for her passion for teaching, mentoring, and her interests outside of academia, such as running, hiking, and music.4


