Emily Jin
Emily Jin

PhD Student

About Me

I’m a PhD candidate in the Computer Science program at Oxford under the supervision of Michael Bronstein and İsmail Ceylan, and in collaboration with AstraZeneca. My primary research interests include applying graph machine learning methods to help solve biological problems such as target identification, molecular property prediction, and organic crystal structure generation.

Prior to Oxford, I obtained both my MS and BS in Computer Science from Columbia University. Before starting my PhD, I also worked full time as a software engineer at Facebook for two years, where I focused on building new privacy-safe ad products for healthcare advertisers. Outside of work, I enjoy teaching, mentoring, and taking an active role in the Oxford Women in Computer Science and New College, Oxford communitites.

Recent News

  • 📚 Excited to be the GNN tutor for Mediterranean Machine Learning (M2L) Summer School in Split, Croatia.
  • 🎉 Join us for the sixth edition of AI4MAT @ NeurIPS 2025.
  • 🎉 Oxtal: A generative model for molecular crystal structure prediciton has been accepted as an Oral to Pacifichem 2025!
  • 🎤 Honored to speak as a panelist for Oxford Women in Computer Science: Keep It Real!
  • 🎤 We’re presenting our MoSE paper at ICLR 2025 in Singapre.
Interests
  • Geometric Deep Learning
  • Graph Representation Learning
  • AI for Science
  • Biomedical Knowledge Graphs
  • Crystal Structure Prediction
Education
  • PhD Computer Science

    University of OXford

  • MSc Computer Science

    Columbia University

  • BSc Computer Science, Minor in Chemical Engineering

    Columbia University

Publications
Teaching

University of Oxford, Department of Computer Science

  • Geometric Deep Learning: HT ‘24
  • Graph Representation Learning: HT ‘24, HT ‘25
  • Artificial Intelligence: HT ‘23

University of Oxford, Doctoral Training Center

  • Software Engineering: MT ‘22, MT ‘23
  • Data Science for Drug Discovery: HT ‘23

Columbia University, Department of Computer Science

  • COMS 4771: Machine Learning: Summer ‘19, Spring ‘20, Spring ‘21
  • COMS 3157: Advanced Programming: Fall ‘17
  • COMS 3136: Essential Data Structures: Fall ‘18, Spring ‘19

Columbia University, Department of Mathematics

  • MATH 1201: Calculus III (Multivariable Calculus): Fall ‘16, Spring ‘17