Federico Comoglio

Dr. Sc. (PhD) Epigenomics and Computational Biology

2010 - 2015

ETH Zürich (D-BSSE), CH

• 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
• 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
• Outstanding Bachelor student award

Principal Data Scientist / Engineer

2026 - present

Novartis, Basel, CH

• Defining the strategic data architecture and lifecycle management frameworks for oncology data science to ensure scalable, high-integrity data assets and accelerate pre-clinical discovery.

Co-founder & Partner

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.

Head of L&H Center of Competency

2023 - 2026

PartnerRe, Zürich, CH

• Designed and developed data products to automate complex actuarial processes, optimize actuarial operations, and enhance data-driven decision-making.
• Shaped digital transformation in L&H through computational analytics R&D.
• Established a cross-functional generative AI initiative, designing and executing solutions to solve critical L&H business challenges.
• Provided technology consulting and training to global actuarial and data science teams.

R Developer

2021 - 2022

PartnerRe, Zürich, CH

• Developed 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.

Lead Data Scientist

2020 - 2021

Sleepiz, 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.