Aurélien Macé Email & Phone Number
@finddx.org
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Who is Aurélien Macé? Overview
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Aurélien Macé is listed as Principal Data Scientist - Digital Health Unit at FIND, based in Lausanne, Vaud, Switzerland. AeroLeads shows a work email signal at finddx.org and a matched LinkedIn profile for Aurélien Macé.
Aurélien Macé previously worked as Principal Data Scientist at Find, The Global Alliance For Diagnostics and Senior Clinical Data Scientist at Find. Aurélien Macé holds Doctor Of Philosophy - Phd, Life Science - Bioinformatics from University Of Lausanne.
Email format at FIND
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AeroLeads found 1 current-domain work email signal for Aurélien Macé. Compare company email patterns before reaching out.
About Aurélien Macé
Interest in:• Understanding the complexity of genetics• Deciphering large scale data• Developing new technologiesTechnical skills:• Statistical genetics• Programming: R, Matlab, bash, C/C++• Product development and supportSoft skills:• Open minded• Flexible • Team oriented
Listed skills include Matlab, Bioinformatics, C++, Software Development, and 11 others.
Aurélien Macé's current company
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Aurélien Macé work experience
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Principal Data Scientist
Senior Clinical Data Scientist
• Responsible for the data collection for all clinical trials (TB, Malaria, HCV, …)• Perform clinical study data analysis (e.g. for new regulations, biomarkers)• Supervision of multiple data manager consultants• Implement data management SOPs for ISO 13485 certification
Data Manager - Biostatistician
Data Management: • Data management support to all clinical trials (5 disease areas, > 15 studies, > 15 sites) • Set up OpenClinica databases for new clinical trials (CRFs design, data entry person training) • Manage data aspects for ongoing clinical trials (quality check, support) • Set up and maintain specimen bank (OpenSpecimen) for ongoing and new studiesDatabase migration: • Supervise clinical database migration to OpenClinica • Supervise specimen database migration to OpenSpecimenBiostatistics: • Sample sizes calculations • Diagnostics efficiency calculations
Bioinformatician - Phd Student
Copy Number Variants (CNV) association meta-analysis with anthropometric traits: • Improve CNV detection based on SNP array (Macé et al., 2016, Bioinformatics) • Develop a pipeline (bash, perl, R) for CNV calling and association • Work on meta-analysis methods to detect effects of rare variants on anthropometric traits • Lead CNV association meta-analysis on > 190’000 individuals (Macé et al., 2017, Nature Communications) • Collaboration with more than 20 researchers worldwideCNV statistical characterizations: • On anthropometric traits in the 16p11.2 deletions and duplications (co-author on 2 publications) • On cognitive traits in the Estonian general population (co-author on 1 publication)Communication: • Teaching assistant for the Multivariate analysis course (bachelor in biology) • Teaching assistant for the SIB course on genetic diseases • Teaching assistant for tutorial on genetic predisposition to obesity • Teaching assistant for Biostatistics course • Posters and talk in conferences • Participated to the 3 minutes thesis contest 2016
Research Associate
Set up of research study: • For sleep recording using Compumedics medical devices • For fRMI study using General Electric MRI deviceProvide support to researchers for: • Programming • Data analysis
Bioinformatics Tools Developer - Biomarker Discovery Department
Development of R packages for biomarkers discovery : • genes expression dataset meta-clustering • genes signatures automatic extraction • genes signatures automatic interpretationWriting of code documentations and examples
Solution Engineer
Work on the development and support of a video based fire detection solution.Product development: • Implementation of new functionalities (in C++) • Improvement of image processing algorithms (in C++)Product support: • Participation to the launch of international projects (Netherlands, Germany, Switzerland) • Service and support to the current installations (e.g. a 75 cameras project)Product marketing: • Technical & marketing meetings with customers • Response to request for proposalResearch: • Article writing for conference
Master Thesis Project
Software development: • Creation of a Trace Browser (in Matlab) • Data base interface development (Matlab)Data analysis: • Analysis of neuron responses to extract features (in C) • Implementation of an automatic classifier
Engineer Internship
Software development: • Design a mail box for mobile phone • Implement the mail box in J2ME
Aurélien Macé education
Doctor Of Philosophy - Phd, Life Science - Bioinformatics
Business Concept
Master, Computer Science Applied On Biomedical Engineering
Master, Generalist Engineer, Good
Maths, Physics
Frequently asked questions about Aurélien Macé
Quick answers generated from the profile data available on this page.
What company does Aurélien Macé work for?
Aurélien Macé works for FIND.
What is Aurélien Macé's role at FIND?
Aurélien Macé is listed as Principal Data Scientist - Digital Health Unit at FIND.
What is Aurélien Macé's email address?
AeroLeads has found 1 work email signal at @finddx.org for Aurélien Macé at FIND.
Where is Aurélien Macé based?
Aurélien Macé is based in Lausanne, Vaud, Switzerland while working with FIND.
What companies has Aurélien Macé worked for?
Aurélien Macé has worked for Find, Find, The Global Alliance For Diagnostics, Statistical Genetics Group, Université De Lausanne, Blood Brain Barrier Group, Pennington Biomedical Research Center, and Merck Serono.
How can I contact Aurélien Macé?
You can use AeroLeads to view verified contact signals for Aurélien Macé at FIND, including work email, phone, and LinkedIn data when available.
What schools did Aurélien Macé attend?
Aurélien Macé holds Doctor Of Philosophy - Phd, Life Science - Bioinformatics from University Of Lausanne.
What skills is Aurélien Macé known for?
Aurélien Macé is listed with skills including Matlab, Bioinformatics, C++, Software Development, Algorithms, R, Image Processing, and Science.
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