Accessing Multi-omics Data for the Purposes of Tumour Profiling – Aashil A. Batavia

Aashil Batavia received his undergraduate degree from the University of Manchester obtaining a B.Sc. in Biomedical Sciences in 2014. During his dissertation, he implemented in silico experimental evolution to gain insights into the relationship between mutation rate plasticity, evolvability and robustness; exposing him to computational approaches for biomedical research for the first time. In 2015, he elected to return to the University of Manchester where he obtained an M.Sc in Bioinformatics and Systems Biology. Here he completed two research projects, one of which assessed the impact of human variants on the structure and function of Prpf8; mutations in which have been shown to cause retinitis pigmentosa. This work paved the way for his move to Switzerland in 2017 where he would begin his PhD at the Institute of Pathology and Molecular Pathology, USZ and the Department of Biosystems Science and Engineering, ETH Zurich. With a foot in both the computational and experimental worlds, his current work is focused on the multi-omics assessment of a rare form of renal cell carcinoma termed wild-type von Hippel-Lindau (wtVHL) clear cell renal cell carcinoma.