Vincent Botta

PhD in Computer Science | Data Scientist | Bioinformatician

ABOUT

I create order out of chaos. Not only excited about the idea that a machine can learn, I am also deeply passionate about the advances of web technologies and convinced of all the innovations it brings. I have been involved for many years in all sorts of web projects. I am fuelled by a combination of passion for the Internet, creativity and challenges like the ones I had to solve during my research.

INTERESTS

Web technologies, photography, data mining, Python, programming, graphism, architecture, visual communication, decision tree, PHP, database, C++, ...

EXPERIENCE

Kensu.io
Data scientist
Mad data science and scalable computing

Sep 2016 - PRESENT
VISIT WEBSITE

Diagenode
E-Marketing Tools Manager
Innovating Epigenetic Solutions

Feb 2015 - Sep 2016
VISIT WEBSITE

Cytomine.be
Data scientist
A rich internet application for visualization, collaborative annotation, and automatic analysis of large-scale bioimages

2014 - PRESENT
VISIT WEBSITE

Antibody-Adviser.org
Co-founder of a non-profit international organization
Find, rate and manage your favourite antibodies.

2011 - PRESENT
VISIT WEBSITE

Data scientist in Bioinformatics
At the University of Liège, Belgium

2006 - PRESENT
VISIT WEBSITE

Freelance architectural photographer
At Luc Spits architecture

2012 - 2013
VISIT WEBSITE

EDUCATION

PhD in Computer Science
University of Liège, Belgium

2008-2013

Master of advanced studies in Computer Science
University of Liège, Belgium

2006-2008

Master in Computer Science
University of Liège, Belgium

2002-2006

PUBLICATIONS

Exploiting SNP Correlations within Random Forest for Genome-Wide Association Studies
In PloS ONE

APRIL 2014
random forest, machine learning, GWAS
DOWNLOAD PDF

A walk into random forests: Adaptation and application to Genome-Wide Association Studies
PhD thesis subject

2008 - 2013
random forest, machine learning, GWAS
DOWNLOAD PDF

Raw genotypes vs haplotype blocks for genome wide association studies by random forests
Proceedings of MLSB 2008

SEPTEMBER 2008
bioinformatics, machine learning, GWAS
DOWNLOAD PDF

Prediction of genetic risk of complex diseases by supervised learning
Proceedings of Benelearn 2008

MAY 2008
bioinformatics, machine learning, GWAS
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Prédiction du risque génétique par apprentissage automatique supervisé dans le cadre de maladie complexes
Master of advanced studies in Computer Science, thesis

2006-2008
bioinformatics, machine learning, GWAS
DOWNLOAD PDF

A novel formulation of inhaled doxycycline reduces allergen-induced inflammation, hyperresponsiveness and remodeling by matrix metalloproteinases and cytokines modulation in a mouse model of asthma
In Biochemical Pharmacology

2008
asthma, inflammation, doxycycline
DOWNLOAD PDF

SKILLS

Programming

Data mining

Photography

LANGUAGES

French

English

Italian

CONTACT

Email
vince.bot@gmail.com

SOCIAL LINKS