Jack Mckenzie Email & Phone Number
@autotrader.nl
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Who is Jack Mckenzie? Overview
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Jack Mckenzie is listed as Machine Learning Engineer at The RealReal, a company with 1801 employees, based in London Area, United Kingdom, United Kingdom. AeroLeads shows a work email signal at autotrader.nl and a matched LinkedIn profile for Jack Mckenzie.
Jack Mckenzie previously worked as Senior Machine Learning Engineer at The Realreal and Consultant at True Theta. Jack Mckenzie holds Doctor Of Philosophy - Phd, Applied Mathematics from The University Of Manchester.
Email format at The RealReal
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AeroLeads found 1 current-domain work email signal for Jack Mckenzie. Compare company email patterns before reaching out.
About Jack Mckenzie
Applied Research Scientist specialising in recommender systems. I hold a PhD in Applied Mathematics from the University of Manchester.
Listed skills include Mathematics, Statistical Modeling, Machine Learning, C++, and 10 others.
Jack Mckenzie's current company
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Jack Mckenzie work experience
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Applied Research Scientist
Worked on both the design and implementation of industrial-scale recommender systems. My specialism was in the use of deep contextual bandits for tackling the long-tail/cold-start problem.
Phd Candidate In Industry Partnership
multi-armed bandit algorithms, Bayesian models, A/B testing and recommender systems.
Graduate Teaching Assistant
Assistant role teaching the modules: Markov Chain Monte-Carlo (MATH48122), Statistical Inference (MATH48001), Statistical Methods (MATH20802), Multivariate Statistics & Machine Learning (MATH38161).
Colleagues at The RealReal
Other employees you can reach at therealreal.com. View company contacts for 1801 employees →
Romel Doyle
Colleague at The RealrealNew York, New York, United States, United States
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Hilary Young
Colleague at The RealrealNew York, New York, United States, United States
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Rachel Glicksberg
Colleague at The RealrealNew York, New York, United States, United States
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Oluwakemi Ike
Colleague at The RealrealSan Francisco, California, United States, United States
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Adam Biggs
Colleague at The RealrealNanuet, New York, United States, United States
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Alberto Rivera Torres
Colleague at The RealrealMesa, Arizona, United States, United States
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Stefany De Armas
Colleague at The RealrealBogota, New Jersey, United States, United States
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Erik Cota
Colleague at The RealrealAubrey, Texas, United States, United States
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Sandra Herrera
Colleague at The RealrealSouth San Francisco, California, United States, United States
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Melissa Zapata
Colleague at The RealrealNew York City Metropolitan Area, United States
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Jack Mckenzie education
Doctor Of Philosophy - Phd, Applied Mathematics
Master Of Science - Msc, Applied Mathematics With Numerical Analysis
Bsc (Hons), Mathematics
Frequently asked questions about Jack Mckenzie
Quick answers generated from the profile data available on this page.
What company does Jack Mckenzie work for?
Jack Mckenzie works for The RealReal.
What is Jack Mckenzie's role at The RealReal?
Jack Mckenzie is listed as Machine Learning Engineer at The RealReal.
What is Jack Mckenzie's email address?
AeroLeads has found 1 work email signal at @autotrader.nl for Jack Mckenzie at The RealReal.
Where is Jack Mckenzie based?
Jack Mckenzie is based in London Area, United Kingdom, United Kingdom while working with The RealReal.
What companies has Jack Mckenzie worked for?
Jack Mckenzie has worked for The Realreal, True Theta, Huawei Technologies Research & Development (Uk) Ltd, Auto Trader Uk, and Bbc.
Who are Jack Mckenzie's colleagues at The RealReal?
Jack Mckenzie's colleagues at The RealReal include Romel Doyle, Hilary Young, Rachel Glicksberg, Oluwakemi Ike, and Adam Biggs.
How can I contact Jack Mckenzie?
You can use AeroLeads to view verified contact signals for Jack Mckenzie at The RealReal, including work email, phone, and LinkedIn data when available.
What schools did Jack Mckenzie attend?
Jack Mckenzie holds Doctor Of Philosophy - Phd, Applied Mathematics from The University Of Manchester.
What skills is Jack Mckenzie known for?
Jack Mckenzie is listed with skills including Mathematics, Statistical Modeling, Machine Learning, C++, Mathematical Modeling, Quantitative Finance, Gaussian Processes, and Neural Networks.
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