Arianna Congedi is an Italian pianist and répétiteur living in Zurich, Switzerland. Having earned a Master's degree in opera studies and piano pedagogy, she is currently pursuing postgraduate studies in orchestral conducting with Christof Brunner.
She is a 2024 Répétiteur Fellow of the Georg Solti Accademia, where she had the honour to work with Jonathan Papp, Anthony Legge, and Richard Bonynge. Arianna is a scholarship holder of the Hirschmann foundation Switzerland for outstanding academic achievements and social engagement.
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Upcoming engagements see her as conductor for productions of Don Giovanni with Hastings Philharmonic Orchestra and Teseo with Ensemble Orquesta Baroque, both mentored by Marcio da Silva. As a student of the renowned International Conducting Academy 2025, she will be tutored by Colin Metters in repertoire ranging from Beethoven's Symphonies to Rachmaninov's Symphonic dances, performed by Ensemble Cambrica and NEW Sinfonia in Cardiff, London, and Manchester.

Arianna has been invited to work as rehearsal pianist, coaching assistant, and continuo* for various productions, including Alcina* (Saluzzo Opera Academy), Larmes du Couteau/Alexandre bis (Theater Gessnerallee), Le Nozze di Figaro*, Carmen, and Dido and Aeneas* (Zurich University of the Arts). Under the general direction of Damon Nestor Ploumis, she has worked at Lyric Opera Studio Weimar as audition pianist, coaching assistant and répétiteur for their production of Die Fledermaus.
In Masterclasses at Accademia Teatro alla Scala Milano, she worked with Beatrice Benzi, Umberto Finazzi and James Vaughan. At the Italian Opera Workshop Conducting Masterclass in Florence, she  was coached by Antonello Allemandi on a semi-staged production of Il Trovatore.
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For her musical theatre Nonna starb an einem Freitag, which intertwined opera scenes by Ligeti and Eötvös with her play script, she was awarded the ZHdK Förderpreis in 2021. In 2023, alongside Jonas Füllemann as sound/visual programmer, Arianna staged and performed K. Stockhausens Klavierstück XIII: Luzifers Traum using machine learning to augment the perception of the piece.

Photo by Jennifer Lorenzini