Research Catalogue

GOON In 2023, at the age of 28, I was diagnosed with testicular cancer. This life-altering event led me to take a closer look at my sexual desire, question my relationship with my genitals, and rethink how I perceive my gender identity. Today, as I navigate a healing period, I seek to explore sensuality as a space of resistance and emancipation. GOON is an attempt to free myself from the shame surrounding (my) queer sexualities. GOON is a research performance inviting the audience to look up close at the way they see and seek pleasure. With a choreographic approach, I am researching queer eroticism as a place of joy. Ignoring the constraints of sexual norms, this exploration focuses on shaping a body that is both playful and desired, despite its apparent dirtiness.

This exposition reflects on how machine learning can be integrated with algorithmic composition and live coding to expand digital music creation. The research examines how ML-driven sound analysis, training data, and interactive models reshape compositional workflows. By viewing machine learning as an interpretative and generative process rather than a mere tool, this project challenges conventional boundaries between data gathering, system design, and artistic practice. The discussion is framed through experimental approaches that merge sound synthesis, live coding, and model training, questioning how algorithmic systems can act as both agents of composition and reflective mirrors of musical intention. Through the interplay of structured data, generative models, and exploratory workflows, the study situates machine learning within a broader conversation about creativity, computation, and the evolving role of the composer-programmer.

This page is under construction It contains material created for and in the context of the research project Gifts from the Sentient Forest at the University of Lapland. See https://www.sentientforestproject.com

NORSK: I dette kunstneriske utviklingsarbeidet undersøker jeg hvordan norsk folkemusikk kan integreres i mitt etablerte musikalske sound. Gjennom lytting, refleksjon og skapende praksis har jeg latt tradisjonsmusikkens estetikk og uttrykk påvirke mitt eget formspråk. Arbeidet har resultert i albumet "Relasjonsorkester", der jeg utforsker møtepunktene mellom tradisjon og samtid i tre utvalgte låter: "Hei, hallo", "Tankerom" og "Langsiktig sparing". Prosessen har vist at respektfull lytting, tilegning av teoretisk kunnskap og bevisste kunstneriske valg er avgjørende for å forankre nye uttrykk i en levende tradisjon. Oppgaven reflekterer over hvordan tradisjonen kan bli en del av egen kunstnerisk identitet, uten å måtte bli en tradisjonsbærer i klassisk forstand. ENGLISH: This artistic research project explores how Norwegian folk music can be integrated into my established musical sound. Through listening, reflection, and creative practice, I have allowed the aesthetics and expression of folk tradition to influence my own musical language. The project resulted in the album "Relasjonsorkester", where I explore the intersections between tradition and contemporary music through three selected songs: “Hei, hallo”, “Tankerom”, and “Langsiktig sparing”. The process demonstrates that respectful listening, acquisition of theoretical knowledge, and conscious artistic choices are essential for grounding new expressions within a living tradition. The thesis reflects on how tradition can become a part of one’s artistic identity without necessarily becoming a traditional bearer in the conventional sense.

Gjennom denne masteroppgaven utforsker jeg muligheter for å skape en tonalitetsfølelse innenfor dissonante rammer. Prosjektet er et kunstnerisk utviklingsarbeid der jeg utforsker temaet gjennom komposisjon innenfor rammene av Olivier Messiaens Modes of limited transposition. Samtidig vil jeg forsøke å definere tonale sentre innenfor disse for å skape et tonalt uttrykk. Arbeidet skal resultere i et album og refleksjoner tilknyttet komposisjonsprosessen.

Through a series of photographic assemblages that focus on texture, depth, and atmosphere, “The Oracle of Delphi” documents interactions between these assemblages and AI language models. The work demonstrates specific ways that current AI systems struggle to comprehend material qualities and contextual relationships in personal narratives, particularly when dealing with dimensionality, surface qualities, and emotional resonance. By analyzing these limitations, the work reveals the gap between human and machine perception of materiality and affect, while suggesting potential approaches for developing more nuanced human-machine encounters. Through these material encounters and a deliberate “kinking” of established patterns, the work demonstrates how algorithmic systems might be recrafted from processes of reduction into expansive sites of co-creation and possibility.