Welcome to my website!
My name is Emanuele Zappala. I currently am an Associate Research Scientist at Yale University, where I am working on machine learning, under the mentorship of David van Dijk. Before that, I have been Postdoctoral Research Associate at the University of Tartu, in Estonia, where my research was funded by the Estonian Research Council, through the Mobilitas Pluss scheme, research grant number MOBJD679. During this period I have collaborated with Viktor Abramov. I have been research fellow at the University of Michigan, in Ann Arbor, during my last year of Ph.D. and in the subsequent months. I have completed my Ph.D. in mathematics (in May 2020) under the supervision of M. Elhamdadi and M. Saito at the University of South Florida, in Tampa, Florida. Before my doctoral studies, I have completed an M.Sc. (in mathematics) at the University of Glasgow, in the UK, a Graduate Diploma (in mathematics) at King’s College London, in the UK, and a B.Sc. (in physics) at the University of Catania, in Italy.
My main research interests lie in pure and applied mathematics. In pure mathematics I am interested in geometric topology and (non-associative) algebra, especially quantum and cocycle invariants of knots and manifolds, quantum algebra, as well as self-distributive cohomologies of higher arity operations. In applied mathematics I am interested in (quantum) machine learning, computational biology and theoretical physics. In particular, I am interested in applications of (quantum) topology to these fields.
Here is a list of my articles.
Non-Associative Algebraic Structures in Knot Theory (2020). Graduate Theses and Dissertations, University of South Florida, https://scholarcommons.usf.edu/etd/8096.
For a copy of my CV (usually not more than a couple of months out-of-date):
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Current address: 300 George Street, New Haven, CT, 06511, USA.