Pau Rué, Phd Email & Phone Number
@infermedica.com
1 phone found area 472
LinkedIn matched
Who is Pau Rué, Phd? Overview
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Pau Rué, Phd is listed as Co-Founder at Stealth AI Startup, a company with 4857 employees, based in Barcelona, Catalonia, Spain. AeroLeads shows a work email signal at infermedica.com, phone signal with area code 472, and a matched LinkedIn profile for Pau Rué, Phd.
Pau Rué, Phd previously worked as Head of AI Engineering & Research. Founding member. at Alinia Ai and Startup Advisor on Data, Machine Learning and AI at Elna ❖ One. Pau Rué, Phd holds Bachelor Of Science (Bsc), Mathematics from Universitat Politècnica De Catalunya.
Email format at Stealth AI Startup
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AeroLeads found 1 current-domain work email signal for Pau Rué, Phd. Compare company email patterns before reaching out.
About Pau Rué, Phd
Making healthcare more accessible, accurate, and safer for everybody with Artificial Intelligence at Infermedica.
Listed skills include Mathematical Modeling, Bioinformatics, Data Mining, Statistics, and 38 others.
Pau Rué, Phd's current company
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Pau Rué, Phd work experience
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Head Of Ai Engineering & Research. Founding Member.
Current
Startup Advisor On Data, Machine Learning And Ai
CurrentI provide technical and strategic guidance to early startups on topics around Data, Machine Learning, and AI.
Vp Of Artificial Intelligence
Advisor
Director Of Data
- 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.
Director Of Machine Learning And Data Platform
- 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.
Research Data Engineer Lead
- 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.
- 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.
Staff Data Scientist
- 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,
Data Scientist
Postdoctoral Fellow
Phd In Computational And Applied Physics
Data analysis and modeling of complex dynamic biological processes.
Visiting Researcher
Data analysis and Modeling of Pluripotency in Embryonic Stem Cells.
Research Assistant
Development of Efficient Stochastic Simulation methods for Complex Biological Networks.
Visiting Researcher
Development of Stochastic Simulation methods for Complex Networks.
High Throughput Data Analyst At The Microarray Unit
Development of analysis tools for High througput Microarray and Sequencing data.Gene-expression analysis. ChIP-on-chip data analysis. Gene Ontology.
Customer Strategy Consultant
Customer Strategy & Sales Intelligence consulting in the Travel and Leisure Industry. Customer Segmentation, Datamining and MarketResearch strategies.
Research And Teaching Assistant
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.
Pau Rué, Phd education
Bachelor Of Science (Bsc), Mathematics
Master Of Science (Msc), Bioinformatics For Health Sciences
Doctorate, Computational And Applied Physics
Frequently asked questions about Pau Rué, Phd
Quick answers generated from the profile data available on this page.
What company does Pau Rué, Phd work for?
Pau Rué, Phd works for Stealth AI Startup.
What is Pau Rué, Phd's role at Stealth AI Startup?
Pau Rué, Phd is listed as Co-Founder at Stealth AI Startup.
What is Pau Rué, Phd's email address?
AeroLeads has found 1 work email signal at @infermedica.com for Pau Rué, Phd at Stealth AI Startup.
What is Pau Rué, Phd's phone number?
AeroLeads has found 1 phone signal(s) with area code 472 for Pau Rué, Phd at Stealth AI Startup.
Where is Pau Rué, Phd based?
Pau Rué, Phd is based in Barcelona, Catalonia, Spain while working with Stealth AI Startup.
What companies has Pau Rué, Phd worked for?
Pau Rué, Phd has worked for Stealth Ai Startup, Alinia Ai, Elna ❖ One, Infermedica, and M47Ai.
How can I contact Pau Rué, Phd?
You can use AeroLeads to view verified contact signals for Pau Rué, Phd at Stealth AI Startup, including work email, phone, and LinkedIn data when available.
What schools did Pau Rué, Phd attend?
Pau Rué, Phd holds Bachelor Of Science (Bsc), Mathematics from Universitat Politècnica De Catalunya.
What skills is Pau Rué, Phd known for?
Pau Rué, Phd is listed with skills including Mathematical Modeling, Bioinformatics, Data Mining, Statistics, Latex, Data Analysis, Computational Biology, and Python.
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