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Welcome!

About me

Hi! I'm Federico, a lifelong learner on a mission to digitalize (re)insurance and advance biomedical genomics. My multidisciplinary background fosters a unique approach to problem-solving, allowing me to bridge diverse domains effortlessly. Who needs communication barriers in 2024?

I believe that:

  • investing in people pays the highest dividends
  • the problem chooses the tool, not the other way around
  • if you follow the data blindly into the woods, you will likely walk face-first into a tree
  • innovation requires a fine blend of diversity and collaboration

Toolkit

R Python Bash SQLite Git Docker

Where to find me

Github LinkedIn

GitHub stats

GitHub Streak

Federico Comoglio's Projects

coursework icon coursework

Selected courses in mathematics, statistics and data science I found particularly useful and well-structured.

d-bsse-sysbio-course icon d-bsse-sysbio-course

Scripts and presentation as introduction to R for the Systems Biology course, HS 2013, D-BSSE, ETH Zurich

dupir icon dupir

An R package for absolute quantification under uncertainty. dupiR implements a Bayesian approach using a binomial likelihood and non-conjugate, discrete uniform priors under sampling with or without replacement.

meme2r icon meme2r

A parser from MEME XML output to R

promoters_in_lads icon promoters_in_lads

Code used in Leemans et al 2019: "Promoter-intrinsic and local chromatin features determine gene repression in LADs"

rknots icon rknots

An R package for the topological analysis of knotted 3D structures (with a focus on biological polymers)

rsympy icon rsympy

R Interface to SymPy Computer Algebra System

transfer-learning-cnn icon transfer-learning-cnn

Transfer learning with pre-trained deep CNNs to predict cell mechanisms of action in response to drug perturbations. See Kensert et al. 2018 biorXiv

wavcluster icon wavcluster

An R/BioC package implementing a statistical and computational framework for the identification of RNA-protein interaction sites in PAR-CLIP data.

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