Research Interests

I am interested in designing methods for medical data, particularly involving high-dimensional sparse observations, which often arise in clinics. I develop techniques based on functional data analysis, inverse problems in high-dimensional settings as well as deep neural networks. My previous research involved designing adaptive learning systems in educational environments.

Degrees

Ph.D. in Mathematical Statistics, Université libre de Bruxelles, 2014
M.S. in Mathematics, University of Warsaw, 2011
M.S. in Computer Science, University of Warsaw, 2010
B.S. in Mathematics & Computer Science, University of Warsaw, 2009

Honors and Awards

Mobilize Center Distinguished Postdoctoral Fellow, 2016
Swiss NSF grant, 2015
Research exchange grant ULB, UC Berkeley 2014
PASCAL Group Fellowship, 2011
Distinguished students fellowship at University of Warsaw, 2007

Representative Publications

Li, N., Kidziński, Ł., Jermann, P., Dillenbourg, P., How do in-video interactions reflect perceived video difficulty? Proceedings of the 8th International Conference on Educational Data Mining 2015

Raca, M., Kidziński, Ł., Dillenbourg, P., Translating head motion into attention-towards processing of student’s body-language. Proceedings of the 8th International Conference on Educational Data Mining 2015

Hörmann, S., Kidziński, Ł., Kokoszka, P., Estimation in functional lagged regression. Journal of Time Series Analysis 2015

Hörmann, S., Kidziński, Ł., Hallin, M., Dynamic Functional Principal Component. Journal of the Royal Statistical Society: Series B, 2015

Hörmann, S., Kidziński, A note on estimation in Hilbertian linear models. Scandinavian Journal of Statistics, 2015