cv

General Information

Full Name Andrea Muolo
Date of Birth 19th January 1991
Languages English, Italian, German

Experience

  • Dec 2021 - now
    Software Engineer and Business Analyst
    Systemorph
    • Assist clients in the insurance industry sector to effortlessly achieve their goals. Simplify their transition from complex spreadsheets to efficient business applications tackling data management and data governance.
    • I successfully led a Proof of Concept aimed at designing and building a business web app to address the Own Risk Solvency Assessment. I was responsible for negotiating specifications and requirements with clients and stakeholders, providing guidance on business logic, actuarial methodology implementation, and business processes. Focus on auditability and governance.
    • Organize and conduct presentations to clients, on-site trainings, and workshops.
    • Skilled Backend Engineer proficient in Scrum methodology and test driven development. Made significant contributions to the development of the Systemorph Cloud Platform (platform as a service), and several in-house packages for data import, report generation, data persistence, data modelling, business logic implementation, and business process management.
    • Thrilled by modern design patterns. Researched, architect and implemented concurrency models founded on the actor model and microservices.
    • Developer and tester of concept applications to showcase our technology and foster our community of users. Product promotion and marketing initiatives.
  • Oct 2019 - Nov 2021
    Research Scientist - Computational Physics
    Fritz Haber Center for Molecular Dynamics
    • Development of analytical solutions and numerical methods for studying topological properties of non-adiabatic quantum states. Genuine predictions on the Berry phase. Algorithms developed in C++20 and run on HPC.
  • Dec 2018 - Sept 2019
    Teaching and Research Assistant
    Eidgenössische Technische Hochschule, ETH Zurich, Switzerland
    • Many-body Dirac Equation and relativistic quantum mechanics. Novel analytical and numerical solutions to integrals to enable symmetry projected optimization. Method development, Pre-Born–Oppenheimer and Tensor Networks algorithm. Rich experience in concurrent and distributed computing using C++17.

Education

  • Nov 2014 - Dec 2018
    Doctor of Sciences of ETH Zürich
    Eidgenössische Technische Hochschule, ETH Zurich, Switzerland
    • Explicitly Correlated Gaussians and the Quantum Few-Body Problem.
    • Algorithm engineering, embrace exciting engineering challenges to meet extreme scaling requirements and numerical stability, safety, and maintainability aspects.
    • Advisor: Prof. Dr. M. Reiher
    • Examiner: Prof. Dr. J. Richardson
  • Oct 2009 - Sept 2014
    Second Level MSc in Science and Technologies
    Scuola Universitaria Superiore di Pavia (IUSS)
    • Focus on transversal and interdisciplinary culture, with a proactive approach.
    • Face the future with responsibility and confidence to build innovative and sustainable projects and solutions.
  • Jan 2014 - Sept 2014
    MSc Thesis in Statistical Mechanics
    University of Cambridge
    • Develop a classical dynamic conserving the quantum Boltzmann distribution
    • Final grade: 110/110 cum laude
    • Supervisor: Prof. Dr. S. Althorpe
    • Co-supervisor: Prof. Dr. S. Romano
  • Oct 2009 - Sept 2014
    BSc & MSc Degrees in Physical Chemistry
    Università degli Studi di Pavia
    • Fellow of the Scuola Universitaria Superiore di Pavia (IUSS).
    • Student at Ghislieri College.

Open Source Projects

  • Dec 2021 - now
    IFRS 17 Calculation Engine
    • It provides the functionality to develop and maintain an IFRS 17 solution based on Systemorph Cloud.

Honors and Awards

  • 2020
    • Swiss National Science Foundation (SNSF) Fellowship
    • Research Grant
  • 2019
    • Student Supervision for Research Project
    • Development of pre-Born–Oppenheimer Tensor Network Algorithms
  • 2018
    • Best Poster Presentation
    • MOLIM General Meeting

Academic Interests

  • Quantum computing
    • Quantum computing has the potential to solve long-standing computational problems that are considered intractable with classical computers.
    • Optimization problems are ubiquitous, and improvements in this field can lead to groundbreaking discoveries.
  • Nuclear quantum effects
    • Rigorous prediction of chemical reactivity and dynamical properties through the explicit treatment of quantum effects beyond the adiabatic approximation.
    • Modeling correctly the exact wave function at short interparticle distances by explicitly introducing the interparticle distance in the functional form.
    • Reaching chemical accuracy through the exact diagonalization of the Schödinger and Dirac–Coulomb Hamiltonians in a basis set expansion of explicitly correlated functions.
  • Method development
    • Develop new ab-initio nuclear electron methods that do not require any experimental parameters besides the charges and masses of the particles involved, and that describe accurately quantum nuclear effects.
    • I introduced the Nuclear Electronic All Particle (NEAP) providing more accurate zero-point energies and proton densities than state-of-the-art results.
  • Topological and geometrical properties in molecular Hamiltonians
    • Study the emergence of the topological Berry phase through the analysis of the exact nuclear current vector field and the nuclear density in arbitrary precision floating-point arithmetic for increasing nuclear mass value.
    • Investigate whether a non vanishing Berry phase survives, and if the non- analyticities of the potential energy surfaces at the conical intersection points persist in the exact electron-nuclear treatment.

Skills and Interests

  • Hobbies: Diving into different points of view.
  • Sport: Decent swimmer, passionate sailor, tactical defensor on a football pitch, beloved volleyball player, professional rower on single scull and quad.
  • Dance: Dancer of timba, son, bachata, rumba, contemporary afro.