About Me
I’m currently a Research Scientist in the AI & Robotics Institute at the Ellison Institute of Technology. I recently completed my PhD in Computer Science at the University of Oxford under the supervision of Michael Bronstein and İsmail Ceylan, and in collaboration with the Quantitative Biology group at AstraZeneca. My research focuses on developing machine learning methods to help solve challenges in drug discovery and materials science, such as target identification, molecular property prediction, molecular crystal structure prediction, and DNA foundation modelling.
Prior to Oxford, I obtained both my MS and BS in Computer Science from Columbia University, working with Yufeng Shen and Venkat Venkatasubramanian, respectively. While completing my MS, I also worked full time as a software engineer at Facebook for two years, where I focused on building privacy-safe ad products for healthcare advertisers. Outside of work, I enjoy teaching, traveling, and drinking nice tea 🍵
Recent News
- 🎤 I’m presenting OXtal at ICLR 2026 in Brazil!
- 🎉 Join us for the fourth edition of AI4MAT @ ICLR 2026.
- 📚 Excited to be the GNN tutor for Mediterranean Machine Learning (M2L) Summer School in Split, Croatia.
- 🎤 OXtal: A generative model for molecular crystal structure prediciton has been accepted as an Oral to Pacifichem 2025!
- 🎉 Join us for the sixth edition of AI4MAT @ NeurIPS 2025.
- AI for Science
- Geometric Deep Learning
- Graph Representation Learning
- Diffusion Models
- Computational Biology
PhD Computer Science
University of OXford
MSc Computer Science
Columbia University
BSc Computer Science, Minor in Chemical Engineering
Columbia University
Mediterranean Machine Learning (M2L) Summer School
- Graph Neural Networks: 2025 Edition
University of Oxford, GirlsWhoML
- Neural Networks: HT ‘24
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