Federico Comoglio

Dr. Sc. (PhD) Epigenomics & 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, international data science team (4 FTEs) to develop sleep analytics algorithms for the contactless medical diagnosis of sleep apnea (Sleepiz One+, a CE IIa-certified and FDA-approved medical device).
• Architected and built the data analytics platform.
• Coordinated pilot studies and pre-clinical studies.

Bioinformatics Scientist

2019 – 2020

University of Bern, Bern, CH

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

Postdoctoral Fellow

2017 – 2019

The Netherlands Cancer Institute, Amsterdam, NL

• Developed a massively parallel assay to measure the compatibility of >100k cis-regulatory pairs in mouse ESCs.
• Devised machine learning algorithms for the inference of cis-regulatory logic.
• Engineered bioinformatics pipelines for the analysis of functional genome annotation data.
• Mentored postgraduate students.
• Secured independent funding.
• Funded by: Swiss National Science Foundation.

Research Associate & Honorary Visiting Fellow

2015 – 2019

University of Cambridge & Corpus Christi College, Cambridge, UK

• Designed and conducted interdisciplinary research projects focusing on cytokine signaling to chromatin in normal and aberrant hematopoiesis.
• Developed computational methods for the integration of multi-omics data and biomarker discovery.
• Mentored postgraduate students.
• Secured independent funding.
• Funded by: European Molecular Biology Organization.