About

I research machine learning methods in database systems and self-supervision to solve problems in medicine.

I have received my MA and am continuing on with the PhD at the Computer Lab in Cambridge, advised by Dr Ferenc Huszár. In the past, I spent some time at Oxford for the MSc and Google for three internships.

This academic year I am visiting Cornell.

Publications

Bridging the worlds of pharmacometrics and machine learning. Kamilė Stankevičiūtė*, Jean-Baptiste Woillard*, Richard W. Peck, Pierre Marquet, Mihaela van der Schaar. Clinical Pharmacokinetics (2023). [pdf]

Conformal time-series forecasting. Kamilė Stankevičiūtė, Ahmed M. Alaa, Mihaela van der Schaar. NeurIPS (2021). *Lithuania’s best early-career AI publication of 2021.* [pdf] [code] [video]

Population graph GNNs for brain age prediction. Kamilė Stankevičiūtė, Tiago Azevedo, Alexander Campbell, Richard A. I. Bethlehem, Pietro Liò. ICML Workshop on Graph Representation Learning and Beyond (2020). *M2L outstanding poster award.* [pdf] [code] [video]