Michelle Ramsahoye

  • PhD Student
  • BIOINFORMATICS, DEEP LEARNING, COMPUTER SCIENCE
  • COMPUTER SCIENCE

Michelle Ramsahoye is a third-year PhD student in the Computer Science department, whose research focuses on deep-learning applications within bioinformatics, specifically bacteriophage proteomics. Michelle earned their ASc degrees in Biology and Physics from Harford Community College and a BSc degree in Mathematics from the University of Maryland, Baltimore County. Their research experiences have varied, involving genomics, chemistry, biology, art, computer science, public policy, and public outreach.

Publications

Dreycey Albin, Michelle Ramsahoye, Eitan Kochavi and Mirela Alistar. 2024. "PhageScanner: a reconfigurable machine learning framework for bacteriophage genomic and metagenomic feature annotation". In: FRONTIERS IN MICROBIOLOGY, (September 16, 2024).

Fiona Bell, Michelle Ramsahoye, Joshua Coffie, Julia Tung, and Mirela Alistar. 2023. “µMe: Exploring the Human Microbiome as an Intimate Material for Living Interfaces”. In: Designing Interactive Systems Conference (DIS ’23), (Pittsburgh, PA, July 10–14, 2023).