Pau Rué, PhD
VP of Artificial Intelligence at Infermedica- Claim this Profile
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English Full professional proficiency
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Catalan Native or bilingual proficiency
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Spanish Native or bilingual proficiency
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Italian Elementary proficiency
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Bio
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Credentials
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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
CourseraJan, 2018- Sep, 2024 -
Structuring Machine Learning Projects
CourseraJan, 2018- Sep, 2024 -
Neural Networks and Deep Learning
CourseraDec, 2017- Sep, 2024 -
Work Smarter, Not Harder: Time Management for Personal & Professional Productivity
CourseraDec, 2017- Sep, 2024 -
AQU Certificat de Professor Lector (favourable report for tenure-track lecturer posts)
AQU (Agencia per la Qualitat del Sistema Universitari de Catalunya)Jan, 2014- Sep, 2024
Experience
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Infermedica
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Poland
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Hospitals and Health Care
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100 - 200 Employee
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VP of Artificial Intelligence
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Sep 2022 - Present
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M47AI
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Brazil
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Architecture and Planning
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1 - 100 Employee
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Advisor
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Jul 2022 - Present
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Freelance
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Egypt
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Human Resources
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1 - 100 Employee
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Startup Advisor on Data, Machine Learning and AI
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Feb 2021 - Present
I provide technical and strategic guidance to early startups on topics around Data, Machine Learning, and AI. I provide technical and strategic guidance to early startups on topics around Data, Machine Learning, and AI.
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Typeform
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United States
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Software Development
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200 - 300 Employee
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Director of Data
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Aug 2021 - Feb 2022
Responsible for a team of 50 Data Engineers, Machine Learning Engineers, Analytic Engineers, Data Scientists, and Tracking specialists. • Led the transformation of the Data team to meet the Data Analytics Business requirements. • Put forward a new Data Team Blueprint. • Promoted a Data Steering Committee to align Company-wide priorities for Data.
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Director of Machine Learning and Data Platform
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Oct 2019 - Aug 2021
Built and lead from scratch a team of 10+ ML engineers and specialists, and 10+ Data Engineers, SREs, and Tracking specialists • Led the creation of a first-rate data stack based on Kubernetes, S3, Kafka, Airflow, Spark, and Redshift. • Established the ML/AI function from scratch, defining sustainable ways of working with Product. • Contributed a compelling and sustainable company-wide AI/Machine Learning strategy. • Successfully shipped a number of impactful Machine Learning… Show more Built and lead from scratch a team of 10+ ML engineers and specialists, and 10+ Data Engineers, SREs, and Tracking specialists • Led the creation of a first-rate data stack based on Kubernetes, S3, Kafka, Airflow, Spark, and Redshift. • Established the ML/AI function from scratch, defining sustainable ways of working with Product. • Contributed a compelling and sustainable company-wide AI/Machine Learning strategy. • Successfully shipped a number of impactful Machine Learning solutions. Prominent examples: - Fraud prevention: automated ML censoring of malicious forms. ~100 forms censored daily. - Automated lead scoring: optimized Google Ads Value Based bidding. +24% sales at -30% CAC . - Real time display of time it takes to complete a form. +2% Form Completion Rate. - NLP-based browser Auto-complete from raw questions text. +3% Question Answer Rate and -4.5% Time to Answer.
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Alpha
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United States
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Financial Services
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Research Data Engineer Lead
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May 2018 - Sep 2019
Established a team of Research and Data Engineers from scratch. The team's purpose was to bridge the gap between Research, AI Research and Engineering by productizing Machine Learning and AI models and providing intelligent user-facing services. • Built a led a team of 5 Machine Learning and Data Engineers, and SREs. • Developed the Data Infrastructure to run real time ML models, including a Data Lake, a job orchestration system, and a set of ML microservices. • Shipped an ML… Show more Established a team of Research and Data Engineers from scratch. The team's purpose was to bridge the gap between Research, AI Research and Engineering by productizing Machine Learning and AI models and providing intelligent user-facing services. • Built a led a team of 5 Machine Learning and Data Engineers, and SREs. • Developed the Data Infrastructure to run real time ML models, including a Data Lake, a job orchestration system, and a set of ML microservices. • Shipped an ML predictive model of Sleep Activity based on mobile sensors and a Mental Health Activities Recommender System. Show less Established a team of Research and Data Engineers from scratch. The team's purpose was to bridge the gap between Research, AI Research and Engineering by productizing Machine Learning and AI models and providing intelligent user-facing services. • Built a led a team of 5 Machine Learning and Data Engineers, and SREs. • Developed the Data Infrastructure to run real time ML models, including a Data Lake, a job orchestration system, and a set of ML microservices. • Shipped an ML… Show more Established a team of Research and Data Engineers from scratch. The team's purpose was to bridge the gap between Research, AI Research and Engineering by productizing Machine Learning and AI models and providing intelligent user-facing services. • Built a led a team of 5 Machine Learning and Data Engineers, and SREs. • Developed the Data Infrastructure to run real time ML models, including a Data Lake, a job orchestration system, and a set of ML microservices. • Shipped an ML predictive model of Sleep Activity based on mobile sensors and a Mental Health Activities Recommender System. Show less
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Schibsted Media Group
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Business Consulting and Services
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Staff Data Scientist
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Jul 2017 - Apr 2018
As the most senior Data Scientist of the Insights team, I led essential initiatives in the context of online marketplaces : • Behavioral classification of customers into Personas segments. • Network analysis of buyer-seller interactions through messaging. • Automatic classification of user intent (to meet, exchange, buy, bargain) based on conversation content. • Creation of a real-time Bayesian evaluation of online experiments for the incipient internal experimentation… Show more As the most senior Data Scientist of the Insights team, I led essential initiatives in the context of online marketplaces : • Behavioral classification of customers into Personas segments. • Network analysis of buyer-seller interactions through messaging. • Automatic classification of user intent (to meet, exchange, buy, bargain) based on conversation content. • Creation of a real-time Bayesian evaluation of online experiments for the incipient internal experimentation platform. In addition, as an Insights Data Science ambassador, I also: • onboarded 20+ Data Analysts and BI Engineers into Jupyter + Spark + S3, • supervised Data Science Interns, • ran workshops on Deep Learning for Engineers, • ran workshops on Bayesian Evaluation of Online Experiments for Data Scientists, • and established the Fun Fact Fridays team activity of hunting for fun but insightful data facts.
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Data Scientist
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Jul 2016 - Jul 2017
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University of Cambridge
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United Kingdom
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Research Services
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700 & Above Employee
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Postdoctoral Fellow
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Jun 2013 - May 2016
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Universitat Politècnica de Catalunya
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Spain
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Research Services
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700 & Above Employee
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PhD in Computational and Applied Physics
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2009 - Jun 2013
Data analysis and modeling of complex dynamic biological processes. Data analysis and modeling of complex dynamic biological processes.
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Visiting Researcher
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Sep 2012 - Sep 2012
Data analysis and Modeling of Pluripotency in Embryonic Stem Cells. Data analysis and Modeling of Pluripotency in Embryonic Stem Cells.
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Universitat Pompeu Fabra
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Spain
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Higher Education
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700 & Above Employee
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Research Assistant
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Jul 2008 - Jul 2009
Development of Efficient Stochastic Simulation methods for Complex Biological Networks. Development of Efficient Stochastic Simulation methods for Complex Biological Networks.
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University of Oxford
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United Kingdom
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Research Services
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700 & Above Employee
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Visiting Researcher
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Jun 2008 - Jun 2008
Development of Stochastic Simulation methods for Complex Networks. Development of Stochastic Simulation methods for Complex Networks.
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PRBB (Barcelona Biomedical Research Park)
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Spain
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Research Services
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1 - 100 Employee
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High throughput Data Analyst at the Microarray Unit
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Jul 2007 - May 2008
Development of analysis tools for High througput Microarray and Sequencing data. Gene-expression analysis. ChIP-on-chip data analysis. Gene Ontology. Development of analysis tools for High througput Microarray and Sequencing data. Gene-expression analysis. ChIP-on-chip data analysis. Gene Ontology.
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Customer Strategy Consultant
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Jun 2006 - Jul 2007
Customer Strategy & Sales Intelligence consulting in the Travel and Leisure Industry. Customer Segmentation, Datamining and Market Research strategies. Customer Strategy & Sales Intelligence consulting in the Travel and Leisure Industry. Customer Segmentation, Datamining and Market Research strategies.
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Universitat Autònoma de Barcelona
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Spain
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Higher Education
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700 & Above Employee
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Research and Teaching Assistant
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Jul 2005 - Jun 2006
Probabilistic Data Tracking, Sequential Optimization Procedures and Linear and Nonlinear data dimensionality reduction (PCA, GPLVM, Neural Networks). Image Sequence Analysis. Assistant teacher of Bioinformatics for Computer Scientists. Probabilistic Data Tracking, Sequential Optimization Procedures and Linear and Nonlinear data dimensionality reduction (PCA, GPLVM, Neural Networks). Image Sequence Analysis. Assistant teacher of Bioinformatics for Computer Scientists.
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Education
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Universitat Politècnica de Catalunya
Bachelor of Science (BSc), Mathematics -
Universitat Pompeu Fabra
Master of Science (MSc), Bioinformatics for Health Sciences -
Universitat Politècnica de Catalunya
Doctorate, Computational and Applied Physics