Daniele Ramazzotti is an Associate Professor and computational biologist with 11 years of experience bridging computer science and medicine, focused on bioinformatics and cancer evolution. He earned a PhD from Università degli Studi di Milano-Bicocca and spent over three years as a postdoc at Stanford, developing probabilistic and causal frameworks to decode tumor progression. His work combines Bayesian learning, statistical modeling, and algorithm design to infer evolutionary trajectories and support patient stratification. He has a strong track record mentoring open-source projects and Google Summer of Code initiatives that translate research tools (TRONCO, ASCETIC, LACE) into interactive R and web visualizations. Based in Lombardy, Italy, Ramazzotti blends rigorous theory with practical software delivery, including mobile and visualization projects dating back to his early career. He is notable for turning complex causal models into user-friendly dashboards that help clinicians interpret oncological data.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Politecnico di Milano
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Università degli Studi di Milano-Bicocca
High school scientific diploma, High school scientific diploma at Liceo Scientifico
Contributions:2 releases, 3 PRs, 29 pushes in 1 year 6 months
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