About

I research machine learning methods in database systems, self-supervision and causal inference 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 Prof Ferenc Huszár. In the past, I spent some time at Oxford for the MSc and Google for three internships.

For academic years 23/24 and 24/25 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]