Marc Hafner - Senior Principal Scientist Bioinformatics, Oncology Bioinformatics and Discovery Oncology

Marc Hafner

Senior Principal Scientist Bioinformatics, Oncology Bioinformatics and Discovery Oncology

Postdoc Mentor
"I am excited by the opportunity to drive drug development using data science and computational modeling."
Years at Genentech
Publications at Genentech
Awards & Honors

In 2017, I joined the department of Oncology Bioinformatics at Genentech. Now, I lead the Discovery Oncology Bioinformatics team, composed of computational biologists focused on identifying potential therapeutic targets, developing novel drugs, and studying the mechanisms underlying drug response and resistance. The group plays a pivotal role in Genentech's drug pipeline, collaborating with other functions to move molecules towards the clinic and identify suitable patient populations and associated biomarkers for clinical development.

Prior to Genentech, I completed my PhD at the Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland in 2011. I pursued my training as a Swiss National Science Foundation Fellow in Professor Sorger's laboratory at Harvard Medical School (HMS). During my postdoctoral research, I published a new method for normalizing drug response data to avoid artifacts and applied it to determine the impact of polypharmacology of CDK4/6 inhibitors on drug response.

Postdoctoral Mentor

The most exciting part of being a mentor is helping trainees develop their potential and guide them to become independent scientists.

Featured Publication

Real-world data reveal increased ESR1 mutation prevalence and altered genomic landscape in HR+/HER2- breast cancer tumors treated with CDK4/6 inhibitors.

npj Breast Cancer. 2024

N. Chaudhary, …, and M. Hafner.

An allosteric pan-TEAD inhibitor blocks oncogenic YAP/TAZ signaling and overcomes KRAS G12C inhibitor resistance.

Nature Cancer. 2023

Thijs Hagenbeek*; Jason R. Zbieg*; Marc Hafner*; et al.

Growth-rate model predicts in vivo tumor response from in vitro data.

CPT: Pharmacometrics & Systems Pharmacology. 2022

R. Diegmiller, L. Salphati, … , M. Hafner.

Multiomics Profiling Establishes the Polypharmacology of FDA-Approved CDK4/6 Inhibitors and the Potential for Differential Clinical Activity.

Cell Chem Biol. 2019

M. Hafner*, C.E. Mills*, K. Subramanian, et al.,

Growth rate inhibition metrics correct for confounders in measuring sensitivity to cancer drugs.

Nat Methods. 2016

M. Hafner*, M. Niepel*, M. Chung, and P.K. Sorger.