Senior Research Engineer

• Feb 2021 - Present

Machine Learning Engineer

• Oct 2016 - Dec 2020

Building the next-generation of greenhouse harvesting robot. Building the next-generation of greenhouse harvesting robot.

Data science consultant

• Oct 2016 - Oct 2016

Objective: development of an advanced data analytics platform centred on retail product recommendation down to the customer level. Agile Scrum environment. Objective: development of an advanced data analytics platform centred on retail product recommendation down to the customer level. Agile Scrum environment.

Data Science Fellow (S2DS)

• Aug 2016 - Sep 2016

An intensive 5-week program aimed at helping make the transition from academia to Data Science roles in industry. The workshop includes training in numerous tools required in data science, such as machine learning, finance and strategy management as well as a concrete project with a data-driven company. • I work in a team of 4, referring directly to the head of the Royal Mail data science team, to provide a reliable forecast for each mail type arriving in each delivery o ce in the… Show more An intensive 5-week program aimed at helping make the transition from academia to Data Science roles in industry. The workshop includes training in numerous tools required in data science, such as machine learning, finance and strategy management as well as a concrete project with a data-driven company. • I work in a team of 4, referring directly to the head of the Royal Mail data science team, to provide a reliable forecast for each mail type arriving in each delivery o ce in the U.K. • I wrote a pipeline in python to rapidly process the 12000 time series, clean the data, handle outliers and remove the seasonality. • Using an ensemble of statistical methods and regression trees trained on data from 2014 and 2015, we were able to decrease the forecast error by 35% over 2016 compared to the model currently in use in the company, ultimately leading to a better allocation of resources over the network. • Finding were presented and very well received by a cross-section of the company who were convinced to use our model in the future. The presentation was also one of the four selected among 24 to be presented a second time to a special panel of expert. Show less An intensive 5-week program aimed at helping make the transition from academia to Data Science roles in industry. The workshop includes training in numerous tools required in data science, such as machine learning, finance and strategy management as well as a concrete project with a data-driven company. • I work in a team of 4, referring directly to the head of the Royal Mail data science team, to provide a reliable forecast for each mail type arriving in each delivery o ce in the… Show more An intensive 5-week program aimed at helping make the transition from academia to Data Science roles in industry. The workshop includes training in numerous tools required in data science, such as machine learning, finance and strategy management as well as a concrete project with a data-driven company. • I work in a team of 4, referring directly to the head of the Royal Mail data science team, to provide a reliable forecast for each mail type arriving in each delivery o ce in the U.K. • I wrote a pipeline in python to rapidly process the 12000 time series, clean the data, handle outliers and remove the seasonality. • Using an ensemble of statistical methods and regression trees trained on data from 2014 and 2015, we were able to decrease the forecast error by 35% over 2016 compared to the model currently in use in the company, ultimately leading to a better allocation of resources over the network. • Finding were presented and very well received by a cross-section of the company who were convinced to use our model in the future. The presentation was also one of the four selected among 24 to be presented a second time to a special panel of expert. Show less

ATER: Undergraduate and graduate teaching assistant

• Sep 2012 - Jun 2016

Mathematics - Linear algebra, ODE, PDE, Fourrier series, Fourrier transform (undergraduate level) Physics - Mechanics, Experimental Physics (undergraduate level) Informatics - C (graduate level), Python (undergraduate level) Mathematics - Linear algebra, ODE, PDE, Fourrier series, Fourrier transform (undergraduate level) Physics - Mechanics, Experimental Physics (undergraduate level) Informatics - C (graduate level), Python (undergraduate level)

PhD in Geophysics (Fluid Mechanics/Planetary Sciences)

• Sep 2012 - Nov 2015

Research interest: Intrusive magmatism on terrestrial planets. Supervisors: Chloé Michaut & Mark Wieczorek Skill developed during the PhD - Strong programming experience - Python/Fortran/C/Linux environment/Mathematica - Data exploration and analysis + Machine learning techniques. - Numerical methods to solve strongly non-linear partial differential equations. - Visualisation tools: Python/Javascript/R - Scientific writing - 3 contributions in leading peer-reviewed… Show more Research interest: Intrusive magmatism on terrestrial planets. Supervisors: Chloé Michaut & Mark Wieczorek Skill developed during the PhD - Strong programming experience - Python/Fortran/C/Linux environment/Mathematica - Data exploration and analysis + Machine learning techniques. - Numerical methods to solve strongly non-linear partial differential equations. - Visualisation tools: Python/Javascript/R - Scientific writing - 3 contributions in leading peer-reviewed scientific journals. - Communications - Talks/Posters in major scientific conferences Link to the manuscript : https://tel.archives-ouvertes.fr/tel-01278432 Show less Research interest: Intrusive magmatism on terrestrial planets. Supervisors: Chloé Michaut & Mark Wieczorek Skill developed during the PhD - Strong programming experience - Python/Fortran/C/Linux environment/Mathematica - Data exploration and analysis + Machine learning techniques. - Numerical methods to solve strongly non-linear partial differential equations. - Visualisation tools: Python/Javascript/R - Scientific writing - 3 contributions in leading peer-reviewed… Show more Research interest: Intrusive magmatism on terrestrial planets. Supervisors: Chloé Michaut & Mark Wieczorek Skill developed during the PhD - Strong programming experience - Python/Fortran/C/Linux environment/Mathematica - Data exploration and analysis + Machine learning techniques. - Numerical methods to solve strongly non-linear partial differential equations. - Visualisation tools: Python/Javascript/R - Scientific writing - 3 contributions in leading peer-reviewed scientific journals. - Communications - Talks/Posters in major scientific conferences Link to the manuscript : https://tel.archives-ouvertes.fr/tel-01278432 Show less

Colima Exchange and Research in Volcanology Intern

• Feb 2011 - Jul 2011

Main project: Mapping of the hydrothermal system beneath the Isla Socoro using self-potential, temperature and CO2 gas measurements. Side project: Colima volcano monitoring: seismic activity, thermal imaging, CO2 release, deformation with GPS. Data processing and Analysis. Field measurements. Main project: Mapping of the hydrothermal system beneath the Isla Socoro using self-potential, temperature and CO2 gas measurements. Side project: Colima volcano monitoring: seismic activity, thermal imaging, CO2 release, deformation with GPS. Data processing and Analysis. Field measurements.

Research Assistant

• May 2010 - Aug 2010

Experimental investigation of the periodic jamming and unjamming of dense suspensions in a particular geometry. Experimental investigation of the periodic jamming and unjamming of dense suspensions in a particular geometry.