李泓昊li Honghao
Research Scientist at Owkin
Paris, Ile-de-France
Summary
👤
Senior🎓
Top School李泓昊 (Honghao) is a research scientist based in Paris with a decade of experience at the intersection of statistical modeling, machine learning and causal network reconstruction from observational biological and clinical data. He develops and implements novel algorithms to infer relationships in complex systems and has translated methodological advances into usable, open-source scientific tools. His work spans from doctoral research in data science to applied research at Owkin, and has been published in recognized journals and conferences. Trained in physics at Fudan and as an Ingénieur Polytechnicien, he brings strong quantitative rigor and principled modeling to applied biomedical problems. Colleagues value him for both deep technical contributions and his ability to maintain collaborative scientific software products. He often pairs theoretical innovation with practical evaluation on real-world clinical datasets, emphasizing reproducibility and interpretability.
10 years of coding experience
Bachelor's Degree, Physics, Bachelor's Degree, Physics at Fudan UniversityDoctor of Philosophy - PhD, Data science, Doctor of Philosophy - PhD, Data science at Université Paris DescartesIngénieur Polytechnicien, Ingénieur Polytechnicien at Ecole polytechnique
Github Skills (14)
information-theory9
theory9
causal9
graphical-models8
survival-analysis8
causal-inference6
r5
cpp4
statusline4
federated-learning4
tmux3
powerline2
global-state2
python2
Programming languages (5)
Github contributions (5)
miicTeam/miic_R_package
Oct 2019 - Jan 2022
Contributions:7 releases, 25 reviews, 223 commits in 2 years 2 months
information-theorycausalcausal-graphical-modelsgraphical-modelsgraphical
leehehehe/phy571_projet
Nov 2016 - May 2018
Contributions:55 PRs, 45 pushes, 57 branches in 1 year 6 months
numpython
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