alexandre moly

alexandre moly

phd student - cea leti

About

I am currently a PhD student in Brain Computer Interface at CEA Leti - Clinatec in Grenoble, France. My goal is to create new innovative decoding algorithms allowing to control complex motions of an exoskeleton using ECoG data from a patient. My PhD started in october 2017 and will last three years.

Country

france

City

france

Industry

biotechnology

Skill

electroencephalography, functional near infrared spectroscopy, machine learning, neuroscience, matlab, english, data analysis, python, project management, teamwork, physiological signal processing, microsoft office, microsoft excel, powerpoint, microsoft word, c, c++

Experience

clinatec

phd student - cea leti

clinatec

cea leti clinatec

phd student

cea leti clinatec

2017-10 - Present · 9 yrs
imperial college london

master thesis project : deep brain stimulation

imperial college london

2017-2 - Present · 9 yrs 8 mos
grenoble inp - phelma

student board

grenoble inp - phelma

2015-9 - 2016-5 · 9 mos

Organisation and communication of several events as week end for 400 students ( organisation of the location, of the food, and all the activities).

isae-supaero

research assistant intern

isae-supaero

2016-5 - 2016-8 · 4 mos

EEG and FNIRS connectivity features for mental workload assessment. The study of human brain and mental workload is a really expanded area of research. The DCAS studies this area of research to improve aviation safety. To achieve this goal several measuring instruments of brain activity are used. The purpose of this study is to create and lead an experimental campaign composed of two experiments to test measuring methods as electroencephalogram (EEG) and functional Near-Infrared Spectroscopy (fNIRS) but also combine these two methods to overcome the weakness of each device and finally analyze the measures of connectivity. The tests allowed to assert that EEG when thoroughly processed can be used to identify on one hand if the subject does a task or just rests and on the other hand to benchmark the level of difficulty of the task. Moreover, it might be possible to find connectivity features between EEG signals and the oxygenation of the brain computed with the fNIRS

Education

epfl (école polytechnique fédérale de lausanne)

epfl (école polytechnique fédérale de lausanne)

medical engineering

2016-1 - 2017-1 · 1 yr 1 mo
grenoble inp - phelma

grenoble inp - phelma

materials science

2015-1 - Present · 11 yrs 9 mos
grenoble inp - phelma

grenoble inp - phelma

medical engineering

2014-1 - 2017-1 · 3 yrs 1 mo

Activities and Societies: Member of the student board of Grenoble INP Phelma

alexandre moly's Contact Information

Email

******@***.com

Phone

(**) *** ****

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