Summary
Carlos Ronchi is a computational biologist and mathematician with a PhD in Molecular Life Sciences, bringing nine years of interdisciplinary experience applying mathematical and statistical methods to oncology research. Currently a Scientist II in Pharma R&D at Tempus AI, he bridges theory and practice by collaborating with biologists, statisticians, and clinicians to translate models into clinically relevant insights for estrogen receptor-positive breast cancer. His background spans topological data analysis, AI-driven protein stability studies, and machine learning for image pattern recognition, reflecting a taste for novel mathematical tools in biology. Trained across institutions in Brazil, Germany, and EPFL, he combines rigor from pure mathematics with hands-on experimental collaboration, making him adept at turning complex data into actionable hypotheses. Notably, his skill set emphasizes both foundational math and pragmatic translational impact, positioning him to advance patient-centered oncology solutions.
9 years of coding experience
Sandwich degree, Mathematics, Sandwich degree, Mathematics at The University of Bonn
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Universidade Federal do Paraná
Doctor of Philosophy - PhD, Molecular Biology and Bioinformatics, Doctor of Philosophy - PhD, Molecular Biology and Bioinformatics at EPFL (École polytechnique fédérale de Lausanne)
University of São Paulo
Portuguese, English, German, French, Spanish