Pierre M.
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Pierre M. Email & Phone Number

Machine Learning Engineer at Data Revenue GmbH
Location: Montreal, Quebec, Canada 8 work roles 2 schools
1 work email found @datarevenue.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Work email p****@datarevenue.com
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Current company
Role
Machine Learning Engineer
Location
Montreal, Quebec, Canada
Company size

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Pierre M. is listed as Machine Learning Engineer at Data Revenue GmbH, a with 11 employees, based in Montreal, Quebec, Canada. AeroLeads shows a work email signal at datarevenue.com and a matched LinkedIn profile for Pierre M..

Pierre M. previously worked as Jr. Machine Learning Engineer at Data Revenue Gmbh and Data Scientist at Excelya. Pierre M. holds Master'S Degree, Bioinformatics, 3.5 Gpa from Paris-Sud University (Paris Xi).

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Email format at Data Revenue GmbH

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{first}@datarevenue.com
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Profile bio

About Pierre M.

I believe that Data Science is at the forefront of solving contemporary challenges, ranging from business development to healthcare or even DeFi. Machine Learning brought speech recognition, automated cars, a vastly improved understanding of the human genome. And nowadays Deep Learning helps us navigate complex networks, such as travel schedules or cellular regulatory pathways to identify potent targets for drug discovery.Data Science today is a broad, interdisciplinary fields that integrates principles from computer science, mathematics and statistics in order to predict, manage, mine, visualise and analyse data ranging from genomic sequences to business finances or blockchain transactional networks.The Data Scientist is a valuable asset for multidisciplinary studies. Capable of both working directly with algorithms to develop softwares, tools or websites, and curating datasets to ensure a high level of scientific rigour and the retrieving of relevant information.It is extremely exciting to take part in this “Data Science wave” that is revolutionising many areas of our lives. And for this I am very grateful.Specialties: Software development, web3, machine learning, deep Learning, data engineeringProgramming: Python, Solidity, RDevOps: Docker, Kubernetes, Terraform, Seldon, MLflow, Domino-Datalab cloud computing, Jupyter NotebookData storage: AWS S3, SQL, Redis, MongoDBIDE and other tools: Pycharm, LATEX, GitHub VCS

Listed skills include Bioinformatics, Computational Genomics, Python, Biostatistics, and 11 others.

Current workplace

Pierre M.'s current company

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Data Revenue GmbH
Data Revenue Gmbh
Machine Learning Engineer
berlin, berlin, germany
Website
Employees
11
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8 roles · 16 years

Pierre M. work experience

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Data Scientist

Paris Area, France

➤ Data Science consulting for Bristol Myers Squibb on a machine learning classification project predicting patients’ retention to a specific drug. This project was featured in the American College of Rheumatology (ACR) and AI for Health conferences in November 2020.➤ Exploration and processing of clinicaltrials.org database with NLP techniques and advanced analysis of textual data. This innovative project was eligible to the French Tax Credit Research.➤ Development and teaching of a Python training program. Also performed Data Science vulgarization and initiation for collaborators and clients

Nov 2019 - Nov 2020

Bioinformatics Data Scientist - Ml Improvement Of Crispr Sgrna Design

Greater Boston Area

6 months Master's internship in the Perrimon Lab at Harvard Medical School, Genetics Department.Subject :⇒ Machine Learning predictions of CRISPR/Cas9 on-target efficiency in Drosophila melanogasterThis project aimed to provide the Drosophila RNAi Screening Center (DRSC) with an accurate CRISPR sgRNA efficiency scoring tool in order to improve the sgRNA design pipeline. I used Machine Learning algorithms to model the efficiency of sgRNAs targeting essential genes, based on their characteristics, in a D.mel genome-wide pooled CRISPR screen. The Machine Learning models identified were implemented in a command-line tool with which single or batch sgRNA efficiency predictions can be made from the raw sgRNA sequence (see GitHub link).Skills :➤ Programming and Machine Learning in Python and R➤ CRISPR/Cas9 genetic engineering, molecular genetics and genomics➤ Scientific literature review, autonomy, public speaking, GitHub version control

Mar 2018 - Aug 2018

Bioinformatician - High Throughput Data Analysis

Paris Area, France

Two months internship in the Laboratory of Theoretical Physics and Condensed Matter.(LPTMC - UMR CNRS 7600)Subject :⇒ Expressed genes domain identification of different cell types by high-throughput data analysis.I helped in the development of a machine learning pipeline to infer the best preprocessing method to detect expression signals in complex datasets. The datasets' cell types are then to be clusterized into large cellular groups (brain, blood, gut, etc...) according to their presumed expression pattern (unsupervised machine learning).Skills :➤ Python programming (Jupyter, NumPy, pandas, Scikit-Learn, Matplotlib etc...)➤ Handling very large datasets (over 250Gb of RAM)➤ Data cleaning, visualization and processing (.bed/.hdf5, large arrays, sparse matrix etc...)

Jul 2017 - Aug 2017

Bioinformatician - Comparative Genomics

Paris Area, France

Internship in the Atelier de BioInformatique (ABI - UMR 7205) in the National Museum of Natural History.Subject :⇒ Comparative Genomics characterization of Salmonella enterica serovar Dublin strains implicated in osteo-articular infections.Three pathogenic bacterial strains were harvested from hip prosthesis infections. The goals were to used bioinformatics and comparative genomics tools to :➤ Develop of a Multi-Locus Sequence Typing script (Python) to confirm the strains' serotype (Salmonella enterica serovar Dublin)➤ Identify genomic rearrangements (recombination, viral insertion, genomic reduction) with MAUVE (Multiple Genome Alignment) and/or ACT (Artemis Comparison Tool)➤ Establish the phylogeny analysis of the strains➤ Identify specific gene/region that would explain the enhanced colonization/virulence of the strains

Apr 2016 - Jul 2016

Molecular Geneticist - Drosophila Metabolism

Gif-Sur-Yvette, France

Two months internship in the Growth and Metabolism of Drosophila team of the Institute of Integrative Biology of the Cell (I2BC - UMR 9198)Subject :⇒ Characterization of lipid metabolism and genetics of Drosophila.➤ Genetic markers recognition in larvae and adult Drosophila to identify different genotypes➤ Crossbreedings techniques and drosophila stocks management➤ Spectrophotometry analysis of the lipid content of several drosophila genotypes at different larvae stages.

Jun 2015 - Aug 2015

Student Jobs

Paris, Saint-Quentin-En-Yvelines And Others

Part-time English teaching/baby-sitting or summer jobs in different places to finance my studies. These experiences helped me acquire many organizational and human skills :English Teacher | ANACOURS | Paris, Elancourt - France (2015-2016)Private English lessons for high-school students.➤ Pedagogy➤ Planning➤ TrackingReceptionist & General Services Officer | SWAROVSKI International | Paris - France (Summer 2016)Reception, inventory management, bookings in French and English.➤ Organization➤ TeamworkCertificated Animator | Malakoff Médéric & day care centers | Saint-Quentin-en-Yvelines, Elancourt - France (Summers 2011 - 2014)Responsibility of children (4-12yo), development of activities, various administrative tasks.➤ Leadership & Team management➤ Pedagogy & Education➤ Planning➤ Creativity

2011 - 2015 ~4 yrs
2 education records

Pierre M. education

Master'S Degree, Bioinformatics, 3.5 Gpa

Paris-Sud University is one of the largest and most renowned French university, particularly in science and mathematics. ▷ The University.

FAQ

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What company does Pierre M. work for?

Pierre M. works for Data Revenue GmbH.

What is Pierre M.'s role at Data Revenue GmbH?

Pierre M. is listed as Machine Learning Engineer at Data Revenue GmbH.

What is Pierre M.'s email address?

AeroLeads has found 1 work email signal at @datarevenue.com for Pierre M. at Data Revenue GmbH.

Where is Pierre M. based?

Pierre M. is based in Montreal, Quebec, Canada while working with Data Revenue GmbH.

What companies has Pierre M. worked for?

Pierre M. has worked for Data Revenue Gmbh, Excelya, Harvard Medical School, Pierre And Marie Curie University, and Museum National D'Histoire Naturelle.

How can I contact Pierre M.?

You can use AeroLeads to view verified contact signals for Pierre M. at Data Revenue GmbH, including work email, phone, and LinkedIn data when available.

What schools did Pierre M. attend?

Pierre M. holds Master'S Degree, Bioinformatics, 3.5 Gpa from Paris-Sud University (Paris Xi).

What skills is Pierre M. known for?

Pierre M. is listed with skills including Bioinformatics, Computational Genomics, Python, Biostatistics, Machine Learning, Statistical Data Analysis, Genetics, and Comparative Genomics.

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