Master's thesis projects

Title Published Supervisor(s)
Explore, understand, and develop approaches to make machine learning methods tackle distributional shifts between training and deployment domains Sep. 24, 2021
Developing a software tool to assess the similarity of simulated data and real-world data for evaluating the performance of machine learning methods. Sep. 24, 2021
Developing machine learning methodology/software to better understand how the size of available training data affects prediction performance in real-world settings Sep. 24, 2021
Cancer Diagnosis using Longitudinal Serum RNA Measurements and Machine Learning Sep. 16, 2021
Using machine learning to decipher the adaptive immune system July 31, 2021
Accelerating immunity research through a machine learning software platform July 31, 2021
The effect of splicing mutations in prostate cancer Mar. 2, 2021
Develop improved segmentation algorithms Oct. 14, 2020
Develop novel visualisations of genomic rearrangements in cancer Oct. 14, 2020
Bioinformatics: Simulating the motion of genes Feb. 3, 2020
Bioinformatics: Model the 3D genome of your favorite organism Feb. 3, 2020
Bioinformatics: Associating gene regulatory networks with 3D genome information Feb. 3, 2020
Bioinformatics: Network analysis of the 3D genome Feb. 3, 2020
Searching for small peptides encoded by the human genome Oct. 1, 2019
Optimal analysis of microbiome sequencing data in clinical medicine Sep. 25, 2018
Detecting transcription regulatory networks in cancer Sep. 24, 2018
Clustering cancer omics data with NMF Sep. 24, 2018
Aiming at heterogeneous parallel computing: To overlap or not to overlap? Sep. 20, 2018