Allain-Thibeault Ferhat Berland

Allain-Thibeault Ferhat Berland

Project Manager | Data scientist

Biography

I received extensive training from world-renowned institutions to lead projects successfully published in international scientific journals. My professional experience has given me the ability to interact with collaborators and to bring everyone’s capacities towards the same objective as well as to be the representative of the project at international meetings. As well, I characterized and quantified heterogeneous datasets where I used my expertise in different statistical tools, (e.g. statistical models, machine learning, Bayesian statistics approach), as well as analyze of large dataset (e.g. RNA sequencing, brain waves, behavior).

Interests
  • Statistics
  • Neuroscience and Behaviour
  • Data analysis
Education
  • PhD in Neurobiology, 2018

    Université de Paris - Institut Pasteur | France

Management & Communication Skills

Project management
Team leader & Mentoring
Teamwork & collaboration
Adaptability & Initiative
Communication

Public & Technic

Informatics & Scientific Skills

R
Python
Matlab
Scientific watch
Problem solving
Data Management

  • Collection
  • Analysis
  • Visualisation

Statistics

  • Frequentist
  • Bayesian

Experiment

Design & Analysis

Experience

 
 
 
 
 
Columbia University, Zuckerman Institute
Research Scientist
Columbia University, Zuckerman Institute
February 2020 – February 2023 New-York, USA

Responsibilities include:

  • Characterized cognitive mechanisms and neural basis of hierarchy in macaques
  • Led a project with cutting edge technology (electrophysiology in vivo, electroencephalograms, eye-tracking)
  • Worked with Bayesian model of model-free/ model-based reinforcement learning
  • Mentored undergraduate and graduate students
  • Contributed to national grant writing (granted) and scientific papers revisions
 
 
 
 
 
Institut Pasteur
Research Scientist
Institut Pasteur
September 2014 – July 2019 Paris, France

Responsibilities include:

  • Characterized and determine RNA expression in brain related to disorders
  • Managed differential analysis of large genetic dataset
  • Characterized animal models for autism spectrum disorder at behavioral, structural and genetic level
  • Designed new behavioral tasks to study social interactions in rodents
  • Identified new therapeutic targets for autism spectrum disorder

Education

 
 
 
 
 
Université de Paris | Institut Pasteur
Ph.D. in Neurobiology
Université de Paris | Institut Pasteur
September 2014 – September 2018 Paris | France
 
 
 
 
 
Université Paris-Saclay
Master in Cell signaling and Neuroscience
Université Paris-Saclay
September 2012 – August 2014 Orsay | France
 
 
 
 
 
University of Leeds
BSc in Neurobiology
University of Leeds
September 2012 – August 2013 Leeds | UK
 
 
 
 
 
Université Paris-Saclay
licence in Biology of Health
Université Paris-Saclay
September 2009 – August 2012 Orsay | France

Accomplishments

Coursera
Neural Networks and Deep Learning
See certificate
Coursera
IBM data science
  • Data science Tools
  • Python and SQL
  • Machine Learning
See certificate
Coursera
Bioinformatics Methods I & II
xx
See certificate

Publications

Quickly discover relevant content by filtering publications.
(2023). Excessive self-grooming, gene dysregulation and imbalance between the striosome and matrix compartments in the striatum of Shank3 mutant mice. Frontiers in Molecular Neuroscience.

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(2022). Influence of Rule- and Reward-based Strategies on Inferences of Serial Order by Monkeys. Journal of Cognitive Neuroscience.

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(2018). Shank2 Mutant Mice Display Hyperactivity Insensitive to Methylphenidate and Reduced Flexibility in Social Motivation, but Normal Social Recognition. Frontiers in Molecular Neuroscience.

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(2017). Behavioural Phenotypes and Neural Circuit Dysfunctions in Mouse Models of Autism Spectrum Disorder. Advances in Anatomy, Embryology, and Cell Biology.

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(2016). Recording Mouse Ultrasonic Vocalizations to Evaluate Social Communication. Journal of Visualized Experiments: JoVE.

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Projects

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Bayesian reinforcement learning model
Model-free and model-based reinforcement learning model to mimic learning in human.
Bayesian reinforcement learning model
Pet feeder
A pet feeder project to give food at specific time and to know who ate and the quantity of food.
Pet feeder
sign language translator
A sign language translator
sign language translator
The connected Fork
The main objective to this project is to create a fork connected to bluetooth to control different parameter during meal to better understand food disorder. The project use mainly arduinos component
The connected Fork

Contact

I stay available by mail or phone