Pieter Coussement

Pieter Coussement

Team Lead R&D / Data engineer

Inbiose

Biography

Born as a true generalist, I choose to learn a lot about DNA/biology. I’m currently leading an R&D team I’m a bio engineer, holding a PhD in metabolic engineering, covering the fields of synthetic and systems biology. This training thought me a lot on biology, project planning and analytical thinking. Along the way I learned quite a bit of data(-engineering): data collection/storing data/extracting and parsing data/data visualisation. I know my way in R and python, (No)SQL databases, shiny, Flask, scheduler, kafka,…

I have an interest in data science, automation, robotics and sports.

Interests

  • Biotech
  • Data engineering
  • Automation

Education

  • PostDoc in metabolic engineering, 2016

    Ghent University

  • PhD in metabolic engineering, 2016

    Ghent University

  • Master bio-engineering in chemistry and bioprocess technology, 2009

    Ghent University

Skills

R

Python

(No)SQL

Biotech

SysBio

SynBio

Experience

 
 
 
 
 

Date Engineer

ml6

Apr 2021 – Present Ghent - Belgium
  • Data Engineer at ML6 means a lot of data engineering, a bit of software engineering and a bit of machine learning.
  • A lot of work in Google Cloud.
  • Tools: Terraform, Dataflow, Kubernetes, Kubeflow, Bigquery. TensorFlow,…
 
 
 
 
 

Teamlead R&D

Inbiose

Oct 2016 – Apr 2021 Ghent - Belgium

[Goal] Development of production process for HMO using novel production micro-organisms. I’m involved in:

  • planning and designing novel metabolic production pathways

  • identification and solving of pathway bottlenecks (theoretical: literature/databases/modeling and practical: UPLC/HPLC, genotyping, phenotyping)

  • bioinformatics: alternative genes / pathways (Galaxy, blast, ETE)

  • planning strain building: leading team towards efficient host construction

  • evaluation: from high throughput microtiter plate up to 5L fermentors

  • involved in process development: optimization and alignment of fermentation and DSP processes.

  • data capture: capturing lab data from operators and machines and store in databases (PostgreSQL, influxDB, neo4j)

  • data analysis: wrote several packages to help with data extraction and analysis (python3 and R)

  • data visualisation: wrote different R shiny apps helping with data visualisation (R Shiny, Grafana)

  • data tools: developed different webapps that talk to different databases and allow operators to modify the data using a webbrowser (python3, flask). Setup web tools like Rstudio, Jupyter and Galaxy.

  • setting up IT infrastructure (linux): LXD/LXC containers/Docker

 
 
 
 
 

PostDoc

Ghent University

Apr 2016 – Sep 2016 Ghent - Belgium
  • continued work of PhD, targetting a future spin-off
  • submitted personal VLAIO project with spin-off finality
  • contributed to submitting 3 European projects
 
 
 
 
 

PhD

Ghent University

Dec 2015 – Sep 2010 Ghent - Belgium

Pathways to chito-oligosaccharides production : integrating synthetic biology and metabolic engineering for pathway optimization

  • genetical tool development for E. coli: genetic promoter and cloning tools
  • development of a platform to produce well defined (acetylation pattern) chito-oligosaccharides
  • strong collaboration with academia in Germany and Spain in ChitoBioengineering and the follow-up Nano3Bio European project