Summary
Saoirse Courts is a data scientist and mathematician with a PhD in mathematics and nine years of experience applying deep theoretical insight to practical ML and computational problems. She has published first-author work at ICLR and translated her expertise in noncommutative algebra into ML research during internships at PNNL, producing novel models for few-shot learning and invertible architectures inspired by topology. Most recently she modeled somatic hypermutation in a postdoc at Fred Hutch / HHMI, blending probabilistic modeling with biological domain knowledge. Known for being analytically rigorous yet collaborative and warm, she thrives in teams that value curiosity and impact. Outside research she’s driven by a sense of justice and a love of animals and tea, a personal mix that informs how she chooses projects and workplaces.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of Washington
Bachelor of Science (B.S.), Mathematics, Bachelor of Science (B.S.), Mathematics at University of Southern California
Mathematics, Mathematics at Budapest Semesters In Mathematics
Associate of Science (AS), Mathematics, Associate of Science (AS), Mathematics at Citrus College
German, English