samuel.louviot.site - Resume
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>_ Contact me here _<
Phone: (716) 203-5107
LinkedIn: linkedin.com/in/samuel-louviot
GitHub: github.com/Sam54000
Location: Onsite | Hybrid | Remote
Career Objective
I am orienting my career towards software and AI/ML engineering. I like building tools and providing solutions to tackle complex technical and/or scientific challenges. I have a wide range of skills acquired from my experience and a persistent learning mindset making me adaptable to new environments. I am looking for a position where learning is one of the main focus.
Work Experience
Scientific Software Engineer Generalist | EEG Expert
Nathan Kline Institute | Child Mind Institute
New York, NY, USA
Jan 2024 - Present
  • Developed machine learning models predicting fMRI brain states from EEG data, achieving 70% accuracy
  • Built Python pipelines for multimodal data (EEG, fMRI, eye-tracking) processing and optimized for machine learning training
  • Designed EEG data cleaning and quality assessment pipelines for a 260-human subject cohort on Linux servers
  • Developed a Python package dedicated to EEG research
  • Mentored 2 Data Analysts, 1 Undergraduate, and 1 Graduate student in data analysis and machine learning techniques
Scientific Software Engineer | Postdoctoral Researcher
Weill Cornell Medicine
New York, NY, USA
Jun 2022 - Jan 2024
  • Developed EEG analysis software systems and data pipelines in Python
  • Researched and trained machine learning models for Brain-Computer Interfaces (BCI), reaching 60% accuracy
  • Conducted Big Data analytics on a multimodal dataset of 140+ participants
  • Collaborated with engineers in academia and industry to develop high-density closed-loop transcranial electrical stimulation systems
  • Curated and managed a NoSQL database (100TB) for medical data
  • Mentored 1 PhD student and 1 undergraduate student
Graduate Research Associate
Hospital Central, Université de Lorraine, CNRS
Nancy, Grand Est, France
Oct 2018 - Jun 2022
  • Established Ground Truth of the Electric Field Distribution in the Brain from Intracerebral EEG (sEEG) in 8 Patients
  • Published results in a top-tier journal (Brain Stimulation)
  • Conducted data analytics on biophysical models of intracerebral electric fields using Matlab and Python
  • Processed intracerebral EEG (sEEG) and EEG signals for Machine Learning applications in epilepsy research
  • Validated electric field distribution during transcranial electrical stimulation through biophysical modeling from MR images
  • Mentored 3 undergraduate students in data analysis and research techniques
Lecturer
Université de Lorraine
Nancy, Grand Est, France
2020 - 2021
  • Taught the course Applied Mathematics for Biomedical Engineering at the Graduate School of Biomedical Engineering
Short-term Research Scholar in Neural Engineering
City College of New York
New York, NY, USA
Jun 2019 - Dec 2019
  • Conducted biophysical model validation of electric field propagation in the brain during transcranial electrical stimulation
Lecturer
Université de Lorraine
Nancy, Grand Est, France
2019 - 2020
  • Taught the course Instrumentation and Sensors in Human Electrophysiology at the college of Biomedical Engineering
Education
Ph.D. in Neuroscience | Neural Engineering
Université de Lorraine, CNRS
2018 - 2022
M.S. in Biomedical Engineering (Cybernetics, Robotics, Software and Imaging)
Université de Lorraine
2016 - 2018
B.S. in Biomedical Engineering
Université de Lorraine
2014 - 2016
Associate Degree in Electrical Engineering
Lycée Pierre Mendes France
2012 - 2014
Certifications
Technical Skills
  • Programming Languages: Python, SQL, MySQL, PostgreSQL, Bash, MATLAB, C++, Rust (learning), golang (learning), HTML, CSS, JavaScript (learning), React (learning)
  • Python Libraries: NumPy, SciPy, pandas, Polars, matplotlib, seaborn, plotly, Bokeh, scikit-learn, TensorFlow, PyTorch, statsmodels, MNE-Python, pySpark, Flask
  • Other: Signal Processing, Big Data Analytics, NoSQL Databases, Time-series, System Design, Cloud Computing (AWS, IBM Watson), Linux, Windows, macOS, CAD, Microcontrollers, Microcomputers, Embedded Systems, Docker, Git, GitHub, CI/CD, Agile
>_More_<
Publications

1. Transcranial Electrical Stimulation generates electric fields in deep human brain structures Louviot, Samuel et al. Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation, Volume 15, Issue 1, 1 - 12

2. Transcranial direct current stimulation reduces intracerebrally-recorded epileptic seizures and behavioral disturbances Koessler, Laurent; Louviot, Samuel; Dmochowski, Jacek; Vignal, Jean-Pierre; Colnat-Coulbois, Sophie; Tyvaert, Louise et al. Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation, Volume 16, Issue 2, 667 - 669

Doctoral Thesis

Biophysical and electrophysiological studies of transcranial electrical stimulation in human in-vivo using simultaneous stereoelectroencephalographic recordings in focal drug-resistant epilepsy and face recognition

Collaborations
On a voluntary basis out of working hours, I have been working on the following projects:
  • Intracerebral investigation of Temporal Interference led by Dr. Peter Brunner and Dr. Jon. T. Willie at Washington University in St. Louis.
  • Investigation of the effect of Caffein compared to transcranial Alternative Current Stimulation (tACS) led by Dr. Marom Bikson at City College of New York.
Languages
  • French: Native
  • English: Fluent
  • Spanish: Conversational
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