William Guesdon, PhD

Data Scientist | Bioinformatician

About Me

I am passionate about solving business problems using Data Science & Machine Learning. I systematically & creatively use my skillset to add tangible value to the team, the business, and the end-user. I am constantly learning, and always looking to improve.

Selected Projects

VinBigData Chest X-ray Abnormalities Detection

  • Worked with a team of 3 to build a model capable of detecting Abnormalities on Chest X-rays and locating them.
  • Effectively led the team to build GPU powered virtual machine on AWS.
  • The model created by the team was ranked in the top 7% of the Kaggle competition and achieved a bronze medal.

Determine Risks Factors Associated with Strokes

  • Used statistical learning to identify the combination of the features that are more likely to be associated with strokes.
  • Applied unsupervised learning techniques to identify 5 key risk factors.

Predicting Heart Disease Risk with Random Forest

  • Used a random forest model to identify subjects with heart disease, the leading cause of death in the United States.
  • The model achieved 80% accuracy, highlighting the potential of machine learning in assisting and accelerating the diagnosis of heart disease.

Work Experience

Scientist / Bioinformatician at 4D pharma plc

Nov 2021 – Sep 2022

Senior Scientist at Pencil Biosciences Limited

Sep 2020 - Oct 2021

Data Science Fellow at S2DS - Pivigo

Aug 2020 - Sep 2020

S2DS and Pageant Media London, UK S2DS is a selective five-weeks project-based Data Science training in commercial and technical skills.

  • Worked remotely with 5 people using Scrum and Agile methods for Pageant Media.
  • Used Natural Language Processing (spaCy) and Neural Networks (CNNs, RNNs) to identify and extract the content of interest from financial documents with 94% accuracy.

Postdoctoral Researcher at King’s College London

Jul 2017 - Aug 2020

  • Developed custom scripts used in 2 publications, to combine the Seurat and Immcantation pipelines to analyse single B cell datasets.
  • Led optimization of the protocol for single-cell cloning of gut B-cell receptors enabling the isolation of 50 recombinant antibodies.
  • Designed homemade ELISA for recombinant antibodies screening and detection of autoreactive antibodies.

Postdoctoral Researcher at East Carolina University

Sep 2015 - June 2017

  • Investigated the impact of obesity on B cell function in human subjects and murine models leading to 3 publications.
  • Conducted a pre-clinical study to determine the influence of fish oil concentrate on B cell function in obese subjects.
  • Designed in vivo experiments to assess DHA-derived mediators’ impact on influenza infection resolution.

Education

PhD in Immunology, University François Rabelais of Tours (2011-2014)

Master in Cellular and Molecular Biology, Poitiers University (2007 - 2011)

Licenses & Certifications

Machine Learning Engineer Nanodegree 2021

S2DS August 2020

Data Scientist with Python 2019

Data Scientist with R 2019