Marco De Nadai

Marco De Nadai Email and Phone Number

Research Scientist @ Personalization | Recommendation Systems | Machine Learning | Computer Vision | PhD @ Spotify
stockholm, stockholm, sweden
Marco De Nadai's Location
Copenhagen, Capital Region of Denmark, Denmark, Denmark
Marco De Nadai's Contact Details

Marco De Nadai personal email

About Marco De Nadai

I am an Applied Research Scientist with expertise in Computer Vision and Machine Learning. I am interested in developing generative and latent variable models to manipulate images and/or to understand and predict human behaviour. During my PhD, I studied how multi-modal data (e.g. Street View imagery, GPS traces, geographic data) can be jointly used to describe and predict people’s activities. Now, I brought my expertise to the industry in order to generate and recommend outfits to inspire and advise customers.

Marco De Nadai's Current Company Details
Spotify

Spotify

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Research Scientist @ Personalization | Recommendation Systems | Machine Learning | Computer Vision | PhD
stockholm, stockholm, sweden
Website:
spotify.com
Employees:
7693
Marco De Nadai Work Experience Details
  • Spotify
    Research Scientist
    Spotify Dec 2022 - Present
    Copenhagen, Capital Region, Denmark
  • Zalando
    Applied Scientist
    Zalando Sep 2021 - Dec 2022
    Berlin, Germany
    I build cutting-edge Machine Learning solutions to generate and recommend outfits (i.e. sets of clothes that match well together) to customers. I use multi-modal sequential data to develop novel solutions and recommend items that are fashion compatible, personalized and novel to the customer. I also implement evaluation metrics and algorithms to ensure that our models align well with the company’s key business objectives.
  • Fondazione Bruno Kessler - Fbk
    Research Scientist
    Fondazione Bruno Kessler - Fbk Mar 2019 - Sep 2021
    Trento Area, Italy
    + Led and developed Computer Vision research for unsupervised image translation and image/video manipulation with GANs.+ Designed cutting-edge algorithms to train Vision Transformers in small training set regime. Up to +45 points in Top-1 accuracy.+ Published more than 6 papers in different venues (e.g. NeurIPS, ICCV, CVPR, Science Advances, Nature Scientific Reports).+ Co-advised three PhD students in Computer Vision on a day-to-day basis.
  • Samsung Electronics
    Research Consultant
    Samsung Electronics Oct 2019 - Dec 2019
    + Designed a sound research plan to model and predict human behaviour from large-scale passively-collected data.+ Created evaluation metrics to monitor the company’s key business objectives.
  • Data-Pop Alliance
    Research Affiliate
    Data-Pop Alliance Sep 2017 - May 2019
  • Vodafone
    Research Scientist Intern
    Vodafone Jun 2018 - Sep 2018
    London, United Kingdom
    + Created and implemented statistical models to predict the mobility and mobile applications usage of 400K people.+ Developed production pipelines to pre-process terabytes of GPS data in the cloud.
  • Massachusetts Institute Of Technology (Mit)
    Visiting Student - Research
    Massachusetts Institute Of Technology (Mit) Jul 2016 - Sep 2016
    Cambridge, Ma
    + Developed a model to predict and describe crime from geographical, mobile phone and census data.+ Improved the performance of descriptive and predictive crime models by around 6x in four multi-million cities (e.g. LA and Bogotá).
  • Fondazione Bruno Kessler - Fbk
    Data Scientist
    Fondazione Bruno Kessler - Fbk Mar 2015 - Nov 2015
    Responsible for designing and developing models to predict human behaviour from multiple sources of data. Mining large scale data from mobile phone logs. Deep learning models for images processing.
  • Telecom Italia
    Research - Data Scientist Intern
    Telecom Italia Sep 2014 - Apr 2015
    Trento Area, Italy
    Mining of large-scale data from mobile phone call logs to describe the mobility of people in cities.
  • University Of Amsterdam
    Machine Learning Intern
    University Of Amsterdam Apr 2014 - Dec 2014
    Amsterdam Area, Netherlands
    Developed a Neural Network and ARIMA models to predict the energy consumption of buildings.
  • Ulook
    Ios Developer
    Ulook Jan 2013 - Dec 2013
    Rome Area, Italy
    iOS and API developer for Ulook, a fashion mobile application. In this period I developed the app, I proposed and applied a new design for a better user experience and optimized it for iOS 7.
  • Mcz Group Spa
    Web Developer
    Mcz Group Spa May 2008 - Feb 2013
    Pordenone Area, Italy
    PHP Zend Framework developer with experiences in IBM AS/400 communication and interaction. Developer of geo-marketing solutions in order to map turnovers of MCZ clients.
  • Komixjam.It
    Founder And Web Developer
    Komixjam.It Jan 2006 - 2010
    Brand creation and establishment of a community thats count 30'000 unique visits a day.

Marco De Nadai Skills

Data Mining Data Analysis Python Forecasting Machine Learning Linux Java Sql English Zend Framework Neural Networks Ccna Apache Spark Computer Vision Deep Learning Mysql Php Javascript Css Html Software Development Web Development Html 5 Jquery Programming Ios Development Objective C Web 2.0 Microsoft Office Web Design Seo

Marco De Nadai Education Details

Frequently Asked Questions about Marco De Nadai

What company does Marco De Nadai work for?

Marco De Nadai works for Spotify

What is Marco De Nadai's role at the current company?

Marco De Nadai's current role is Research Scientist @ Personalization | Recommendation Systems | Machine Learning | Computer Vision | PhD.

What is Marco De Nadai's email address?

Marco De Nadai's email address is de****@****ail.com

What schools did Marco De Nadai attend?

Marco De Nadai attended Università Di Trento, Università Degli Studi Di Trento, Vrije Universiteit Amsterdam, Università Degli Studi Di Udine.

What are some of Marco De Nadai's interests?

Marco De Nadai has interest in Italian Politic And Economy, Technology, Computer Science, Startups, Movies.

What skills is Marco De Nadai known for?

Marco De Nadai has skills like Data Mining, Data Analysis, Python, Forecasting, Machine Learning, Linux, Java, Sql, English, Zend Framework, Neural Networks, Ccna.

Who are Marco De Nadai's colleagues?

Marco De Nadai's colleagues are Chelsea Heflin, Hh Hh, Dariusz Dziuk, Chris Palmer, Bharat P Raghav, Anya S., 🤖kirill Bobrov.

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