Federico Comoglio

Dr. sc. (PhD)

2010 - 2015

ETH Zürich (D-BSSE), CH

• Areas of study: Epigenomics, Computational Biology
• Thesis title: Epigenomic analyses of DNA replication and selected studies in computational biology.
• Awarded an ETH Zurich Silver Medal

M.Sc. Pharmaceutical Biotechnology

2008 – 2010

Summa cum laude

Università degli Studi del Piemonte Orientale, IT

• Areas of study: Knot theory, Computational biology
• Thesis title: Novel approaches in computational knot theory applied to protein structure topology.
• Outstanding Master student award

B.Sc. Biotechnology

2005 – 2008

Summa cum laude

Università degli Studi del Piemonte Orientale, IT

• Areas of study: Bioinformatics, Applied statistics
• Thesis title: Implementation of an R package for cDNA microarray analysis and background correction using genetic algorithms.
• Outstanding Bachelor student award

Head of L&H Center of Competency

2023 - present

2021 - 2022: R developer

PartnerRe, Zürich, CH

• Shaping digital transformation in Life & Health.
• Leading a cross-functional generative AI initiative designing and executing solutions for reinsurance business challenges.
• Developing data products and cloud-based solutions for actuarial operations and data analytics (e.g. pricing, automated medical underwriting) fulfilling the regulatory requirements and constraints of a reinsurer.

Partner & Chief Operating Officer

2014 - present

enGene Statistics, Basel, CH

enGene is a boutique consultancy specialized in multi-omics data science and the assessment of novel health technologies, serving distinguished research institutes, biomedical start-ups and SMEs.

• Defining key technology developments needed to reach the company’s vision.
• Designing, conducting, and supervising multi-omics data science projects.
• Developing tailored data analytics solutions.
• Defining and implementing research strategies with internal stakeholders.

Lead Data Scientist

2020 - 2021

Sleepiz AG, Zürich, CH

• Led an Agile and international data science team (4 FTEs) developing sleep analytics algorithms for the contactless medical diagnosis of sleep apnea.
• Designed and developed machine learning solutions for the Sleepiz One+ product (CE IIa).
• Coordinated pilot and pre-clinical studies.
• Implemented and championed best practices for reproducible data analysis.
• Built the data analytics platform.

Bioinformatics Scientist

2019 – 2020

University of Bern, Bern, CH

• Led the development of scalable bioinformatics pipelines for personalized clinical genomics (Swiss Personalized Health Network) in collaboration with internal and external stakeholders.
• Contributed to developing an infrastructure enabling nationwide use and exchange of health data for research.
• Conducted research on interpretable machine learning for multi-modal data integration.
• Engineered scalable and reproducible workflows for (epi)genomics data analysis.

Postdoctoral Fellow (SNSF Postdoc.Mobility fellowship)

2017 – 2019

The Netherlands Cancer Institute, Amsterdam, NL

• Developed a massively parallel assay to measure the compatibility of >100k cis-regulatory pairs.
• Devised machine learning algorithms for the inference of cis-regulatory logic.
• Developed bioinformatics pipelines for the analysis of functional genome annotation data.
• Mentored postgraduate students.
• Acquired independent funding.

Honorary Visiting Fellow

2017 – 2019

University of Cambridge, Cambridge, UK

Research Associate (EMBO long-term fellowship)

2015 – 2017

University of Cambridge, Cambridge, UK

• Developed computational methods for the integration of multi-omics data and biomarker discovery.
• Designed and conducted interdisciplinary research projects focusing on cytokine signaling to chromatin in normal and aberrant hematopoiesis.
• Mentored postgraduate students.
• Acquired independent funding.
• Member of Corpus Christi college.