Mudry Jean-Marie S.

Statistician & Data Analyst in Machine Learning

Data Scientist with 6+years R experience: From Bio-statistics-Oncology toBio-Chemistry: Applied modelling Machine learning and forecast in hyper-dimensional data i.e. Survival analysis in cohort study. With certified University degrees in severals Sciences enable me to perform in any technical fields: Review of scientific publication, Data management process and excellent interpersonal skills are my hands-on. I like harsh tasks.I’m a scientific passionate, aiming to find challenging position in health Science.Always keen on and target companies that gives better concern in their research strategy and hence contributing for healing the population.

2022-2023 Statistician in Bio-Pharmaceutical drugs production, Merck Group, Aubonne
2020-2022 Statistician in Machine Learning, Oncology research Center,CHUV, Lausanne
2014-2015 Data Analyst:GIS Specialist in spectral Remote sensing, UNIL- HEC , Lausanne
2010-2012 Geophysicist-GIS , IHS-Aero , Sion
2009-2009 Core analyst / cuttings microscopy , Ragaswerri Gas Field, RIG 809 , India
2007-2009 IT Data Manager, Simulation dept., Skyguide Air Traffic control, Dubendorf

2018-2021 Master in Statistic & Machine Learning, Université de Neuchâtel
2005-2007 Master Sedimentary Geology & Geophysics, Université de Geneve Lausanne
2002-2005 Bachelor in Geology, Université de Genève,
1995-1996 Bachelor in Aeronautics Sciences,Swissair school,Zurich

2022 Pub-Med publishing, CHUV Data Team, Lausanne
2022 Genomics Sequencing and Epidemiology of Populations, UNIL-Swiss-Institut of Bioinformatic, Davos campus
2022 Data Managment Processing and FAIR publications, UNIL-UNIL-Swiss-Institut of Bioinformatic, Berne
2021 MICROSFOT Azure DP900 Certification,LAB4tek, Lausanne
2017 Advanced Statistical R course,UNIL-Swiss-Institut of Bioinformatic,Lausanne
2008 ARCGIS I II III (Geostatistiques),ESRI, Nyon
2008 MAS in Cardiac Rehabilitation,UNIL-La-lignieres, Gland
2008 Exploration of sedimentary basin plays, EXXON-Mobil, Aberdeen

MERCK Make forecast with Time series (SARIMA, Holt-Winter,Fourier,Prophet algorithms.) held out form 6 sigma process
MERCK Dealing with compositional data and sparse matrix
MERCK DMP process implementation,Dashboarding with R / PowerBI /
MERCK Non-linear regression GAM, Kernel, Rate, Zero Inflated models.
MERCK Use of 3 ways contingency tables and Mantel-Hantsel Test in Bio-production lines
CHUV Processing and modelling Hyper-dimensional Data
CHUV Survival analysis of Melanoma cohort in PD-L1-CTL4A treatments
CHUV Data cleaning, formatting of radiomics (PET-CT scan) vs histo-pathology features
CHUV Regularized-E-net COX PH model compared to Survival Random Forest:C-Harell,Brier and Mortality rate risk scores
CHUV Elaborate biomarkers predictive models with Linear Mixed Models
CHUV Mixed Models applied in Genes controlled Pheochromocytomae cohort
CHUV Radiomics meetings and statistics reviewing for colleagues
HEC Modelling diamonds rich lineament by azimuthal Algorithm,SRTM data
HEC Processing Big Data imaging of sierra Leone from EBOLA campaign
RESERVOIR GROUP Analysis of Core-Cuttings under microscope & Gamma ray loggings
In CONSULTING The use of PCA and PCA-regression for assessing “RXX”-burgers food

Brun,J.,Mudry, JM.(StatRew., Delay of gratification in primates and birds: Influence of fission-fusion dynamics and dietary breadth in an exchange task in Advanced Siences,Vol 8.
Aedo-Lopez, V. Berthod G.Digklia A & Michielin O.,2022, Safety and Efficacy of Ipilimumab plus Nivolumab and Sequential Selective Internal Radiation Therapy in Metastatic Uveal Melanoma,Statistical review by Mudry Jm. Cancer and Oncology review
In prep.,2023, The use of stratified COXPH models in oncology; when treatments assumptions aren’t met, A Finstat review.
Matue Oil fields: Why shutting the well off?, 2008, “AAPG meeting Awarded, Oslo.
Alluvial & Kimberlkitics Diamonds Mines GIS analysis of Sewa River Blockm Sierra Leone,2014, HEC