CV

Education

• Sc.B. with honors in Engineering Physics, Brown University, 2019
• MPhil with distinction in Advanced Computer Science, University of Cambridge, 2020
• Ph.D in Computer Science, University of Cambridge, 2024 (expected)

Work experience

• Summer 2022: Research Scholar
  • Johns Hopkins University, Human Language Technology Center of Excellence
  • Project Title: Unsupervised Low-Resource Authorship Style Transfer with Large Language Models
  • Supervisor: Tom Lippincott
• Fall 2019-Fall 2020: Fulbright Research Scholar
  • Institute of Science and Technology, Austria
  • Project Title: Alignment of Coordinate-Targeted Superresolution Microscopes with Deep Learning
  • Supervisor: Wiebke Jahr
• Summer 2019: Research Scholar
  • Johns Hopkins University, Human Language Technology Center of Excellence
  • Supervisor: Frank Ferraro
• Summer 2018: APS/IBM Women in Physics Research Intern
  • IBM Research Yorktown Heights
  • Project title: Computational design of metasurface holograms for 3D displays.
  • Supervisor: Abram Falk
• Summer 2017: APS/IBM Women in Physics Research Intern
  • IBM Research Almaden
  • Project title: Nanofabrication of superconducting nitride films on silicon for neuromorphic computing.
  • Supervisor: Akash Pushp
• Summer 2016: Leadership Alliance Research Fellow
  • Yale University, Center for Research on Interface Structure and Phenomena
  • Project title: Multiferroic Tunnel Barriers for Spintronic Transistors.
  • Supervisor: Fred Walker

Skills

• Python
• ML Frameworks
  • Tensorflow
  • PyTorch
  • Sklearn
• Languages
  • English (native)
  • French (C1)
  • German (B1)
  • Ancient Greek
  • Ancient Hebrew

Awards

• (2020) Woolf Institute Cambridge PhD Scholarship
• (2020) Cambridge Trust Premium PhD Studentship
• (2019) Fulbright-Austrian Marshall Plan Award for Research in Science and Technology
• (2017) American Physical Society/IBM Women in Physics Scholarship
• (2016) Diversity Programs in Engineering, Freshman of the Year
• (2015) National Merit Scholarship (USA)

Publications

A Source-Criticism Debiasing Method for GloVe Embeddings

McGovern, Hope. (2021). "A Source-Criticism Debiasing Method for GloVe Embeddings." ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI. 1(1).

Deep Learning Facilitates Alignment of Coordinate-Targeted Superresolution Microscopes

Jahr, Wiebke. McGovern, Hope. Danzl, Johann Georg (2020). "Paper Title Number 3." Journal 1. 1(3).