Hannes Röst obtained a BSc in Biochemistry and a MSc in Bioinformatics from ETH Zurich, and during his PhD in the lab of Prof. Ruedi Aebersold at ETH Zurich, he developed novel computational methods to analyze mass spectrometry-based proteomics data. This work has allowed researchers to increase throughput of targeted proteomics experiments by up to 100-fold and increase the number of samples that could be analyzed in a single study. After his PhD, he joined the lab of Prof. Mike Snyder at Stanford University to apply his work in the area of personalized medicine. In Stanford, Hannes focused on developing computational tools for handling, managing and analyzing large, heterogeneous and longitudinal datasets. His research at University of Toronto explore the capability novel mass spectrometric methods to obtain highly quantitative proteomics and metabolomics data matrices and use these quantitative data to address questions in systems biology and personalized medicine.
Shubham Gupta completed his B.Tech from IIT Roorkee, India and M.E.Sc from University of Western Ontario, Canada in Electrical Engineering. His current research involves developing computational methods for pushing mass-spectrometry-based proteomics for large-scale translational research (e.g. cancer). He is also interested in method development for personalized medicine and metabolomics.
Ron completed his B.Sc Honours in Biology at the University of British Columbia. His research interests include mathematical modelling of biological systems and computational method development in mass-spectrometry based proteomics. Currently, Ron is being cosupervised by Hannes Röst and Ran Kafri and his research involves applying mass-spectrometry and statistical modelling approaches to investigate the relationship between cell size, organismal longevity, and the mTORC pathway.
I am a visiting Master's student in Bioinformatics and joined the Röst lab in January 2018. I finished my undergraduate studies in Biology at ETH Zurich. My previous masters research took place in the laboratory of Ruedi Aebersold, focusing on the detection of protein-protein interactions using SEC-SWATH-MS. In my current work I am looking to contribute to the development of novel computational analysis techniques for mass-spectrometry based proteomics
I am an undergraduate studying biological physics specialist and physiology minor at the University of Toronto. I am interested in studying cancer and neurological disease developments through computational biology. I use computer programs such as Python and R for studying biological mechanisms. During my spare time, I look at open source clinical data on cardiovascular research and neurophysiological research.
We currently have an open postdoctoral position in computational mass spectrometry. If you are interested, please read the job advert or contact me at hannes.rost [.at.] utoronto [.dot.] ca.
We are currently also hiring motivated undergraduate and graduate students as well as postdocs. If you are interested in joining the lab, please contact me at hannes.rost [.at.] utoronto [.dot.] ca, on Twitter, LinkedIn or drop by my office in the Donnelly Centre Room 604.