Henry Webel
Short Profile
I joined Simon’s lab in November 2019 in the scope of the Copenhagen Bioscience PhD Program. I am focused on programming, statistics and machine learning, including models from the field of Deep Learning. Coming from a Master in Statistics - covering several multivariate statistical methods, causal analysis, linear and non-linear generalized regressions, survival models, random forests, neural networks and Bayesian nets – and an industry trainee program, I am always looking for new opportunities to efficiently apply and extend machine learning models and methods for explaining their decisions. Currently I work in the field of proteomics.
Main PhD Project
Proteomics experiments under different setups are performed frequently at our institute as in many other labs. My main PhD project is to standardize and augment proteomics data to yield better comparability and identifiability of protein intensities. Currently I am exploring different experimental setups and approches to realise this goal.
Short CV
- 09/2019–present: Predoc Researcher at the Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Denmark.
- 09/2018–08/2019: Cross Company Program at Zühlke, AXA Switzerland and Swisscom, Zürich, Switzerland
- 05/2018–08/2018: Research project in the Volkamer group at Charité, Berlin, Germany
- 10/2014–04/2018: Master of Statistics at Humboldt University, Technical University and Free University Berlin, Germany