معرفی
Sara Veneziale is a Researcher at Imperial College London, affiliated with the Department of Mathematics and the I-X Centre for AI in Science. She holds a Chapman-Schmidt Fellowship, mentored by Anthea Monod. Her research focuses on algebraic geometry, combinatorics, and the application of AI/machine learning in mathematical problems.
Education includes a PhD from the London School of Geometry and Number Theory (supervised by Tom Coates and Al Kasprzyk), and an MMath from the University of Warwick (2020). She previously conducted research at the University of Warwick.
Her work bridges pure mathematics with computational methods, particularly in developing machine learning approaches to study geometric structures like Fano varieties and toric spaces. She has contributed datasets for high-dimensional algebraic objects and collaborates on projects blending geometry with AI.
Research highlights include analyzing singularities via neural networks, estimating geometric dimensions, and constructing large-scale mathematical datasets. Her contributions advance computational tools for algebraic geometry and their applications in science.
