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Lydia Bessai

Neuroscientist and Data scientist

IBM

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About

About

MY BACKGROUND

My passion for neuroscience, for artificial intelligence and for various related subjects (machine learning, creativity, etc) led me to develop solid research skills and to adopt a user-centric approach.  My main goal is to popularize and use neuroscience by developing technological and innovative projects. Browse my web site to discover the brain from every angle...

Education & Experience

Education

WHAT I'VE LEARNED

2016–2017

University of California, Berkeley; Ecole Polytechnique & University Paris-Saclay – Berkeley, California; Paris, France

Master's degree in Entrepreneurship and Technological Innovation

2014–2016

University Pierre and Marie Curie – Paris, France

Master's degree in Behavioral and Cognitive Neuroscience

2013–2014

University Paris-Est Creteil - Créteil, France

Licence's degree in Human Biology

Experience

WHERE I'VE WORKED

October 2021–Today

IBM - Bois-Colombes, France

Data scientist for the top Clients of IBM. Development of MVPs in a cloud infrastructure.

Sectors: telecommunication, consulting, health, life sciences

Specialties: Natural Language Processing, signal processing

Skills: Python, SQL, Watson, IA, Design thinking

Formations in progress: IBM tools

November 2018–September 2021

IBM interactive - Bois-Colombes, France

Consultant & Data analyst (priority sector: health and RWE)

Skills: Python, SQL, Amplitude

Databases: Explorys, DB2

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Projects:

    - Prediction of side effects of anti-cancer drugs

    - Analysis of user behavior

    - Prediction of the severity of COVID patients

    - Analysis of the polarity of customer reviews and extraction of PDF tables (NLP, OpenCV, Tesseract)

    - Signal processing and machine learning modeling for the creation of a decision tool with EEG data from newborns with asphyxia

Skills: Python, SQL, Amplitude

Databases: Explorys, DB2

February 2018–June 2018

Tilak Healthcare - Paris, France

Neuroscientist research analyst

March 2017–August 2017

Ubisoft - Montreuil,France

UX Design internship : User Experience, prototyping

March 2016–August 2016

Brain and Spine Institute - Paris,France

Laboratory internship : Creativity in neuroscience

March 2016–August 2016

Brain and Spine Institute - Paris,France

Laboratory internship : Creativity in neuroscience

March 2015–May 2015

Brain and Spine Institute - Paris,France

Laboratory internship : Study of neurovascular interactions in the hippocampus

March 2014–May 2014

Laboratory of Cognitive Neuroscience , ENS - Paris,France

Laboratory internship : Emotions influence on gaze categorization

Skills & Languages

Skills & Languages

WHAT I BRING TO THE TABLE

Neuroscience

Creativity

Research

Data analysis

Data science

Machine-learning

Entrepreneurship

UX research

Gamification

Python

SQL

Amplitude

Databases: Explorys, DB2

French

English

Awards & Interests

Certifications

IBM Data Science Professional Certificate (Coursera) - January 2021:

     - Data Analysis (Data Wrangling, Model Development, Model Evaluation)

     - Data Visualisation (Chart, Histogram, Scatter/Box Plot, Geospatial data, etc)

     - Machine Learning (Linear and Polynomial Regression, Decisions Trees, KNN, Clustering, Classification etc)

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Python, programmation objet (Orsys Formation) - February 2019

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Big Data Analytics with Python (Orsys Formation) - December 2018

Publication

Publications

MY BOOK IN EVOLUTIVE BIOLOGY

Screenshot 2019-10-15 at 15.41.31.png

Exaptation is a term that elicits mixed reactions, misunderstanding, or worse, doubt about the validity of the word. However, it has all its importance in the lexicon of the history of evolution. It's a word that was coined by Gould and Vrba that calls for more clarification regarding the use of more traditional terms, such as "biological adaptation." Evolutionary jargon is strongly influenced by these last two words, symbols of Darwin's theory and leitmotifs of major evolutionary hypotheses. However, "adaptation" leads to many confusions and idealizes any evolutionary process. The concept of biological exaptation condemns this predestined conception of evolution. He values ​​the idea of ​​"evolutionary tinkering" and warns about our habit of reducing every evolutionary change to an adaptation. This book defines it in detail and illustrates it with examples. Also, it reflects the limits of panadaptationism, a current of thought that associates the historical origin of an organ with its current use, our master vision of evolution.

Evoluton & Hobbies

Evolution

WHAT I WANT TO DEVELOP

Deep Learning

Machine learning

Computational neuroscience

Hobbies

OUT OF OFFICE

Dance (bellydance, salsa, classic, tango)

Drawing

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Writing

Boxe

Reading

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