Félix Balazard Homepage
I am Director of optimized development at Owkin
at Owkin . I am interested in clinical
trial optimization, covariate adjustment, external control arms,
statistics, machine learning, oncology and epidemiology. I have
an inactive blog ,
a LinkedIn profile , a github and
a mostly science-related twitter .
Contact adress : firstname.lastname at gmail.com
Publications
The use of deep learning models to predict progression-free survival in patients with neuroendocrine tumors , middle author, Future Oncology, (2023)
Response heterogeneity as a new biomarker of treatment response in patients with neuroendocrine tumors , last author, Future Oncology, (2023)Adjuvant endocrine therapy uptake, toxicity, quality of life, and prediction of early discontinuation , first author, JNCI, (2023)More efficient and inclusive time-to-event trials with covariate adjustment: a simulation study , last author, BMC Trials, (2023)Federated
learning for predicting histological response to neoadjuvant chemotherapy
in triple-negative breast cancer , middle author, Nature Medicine, (2023)
Association of environmental markers with childhood type 1
diabetes mellitus revealed by a long questionnaire on early
life exposures and lifestyle in a case–control study
first author, BMC public health, (2016) [code]
Talks
Presentation at Journée des Statistiques in Montpellier in
June 2017 and June 2016,
Seminar Stat et Génomes at Agro Paris on April 27th 2015.
Teaching
TD L2 intégrales à paramètres et séries de fonctions : corrigé exercices 3 et 4 du deuxième contrôle continu ,
Deep learning tutorial for ICSD summer School in Roscoff (2016),
Inferential statistics for ISUP (2016),
Linear model for ISUP (2015),
Mentoring of high school students in the program TalENS (2010-2011),
Private lessons to prisoners as a member of GENEPI (2009-2010).