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Pål Sundsøy, PhD


  • Name: Pål Sundsøy
  • Email: sundsoy@gmail.com
  • Phone: (0047) 918 45 206
  • Nationality: Norway

Professional Profile

Senior Data Scientist with large global footprint. Dr.Philos in Data Science, Msc in Physics. Keywords: Applied Machine Learning for studying large-scale human behaviour, computational social sciences, Big data Analytics, cutting edge visualizations. Some of my hobbies include travel photography, aerial drone photography , Big Data visualization , guitar , travelling and sports.

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Research projects

Publicatons, conferences, media exposure

30+ conference talks and 20+ scientific papers on Big Data/Data Science for Social Sciences.
Research cited in e.g. Wall Street Journal, MIT Technology Review, Science News, The Nation, Harvard Magazine, White House Report on Big Data, World Bank, Yahoo Finance, Vice Media etc
Main research collaborators: MIT Media Lab, MIT Sloan, Harvard, Flowminder.
Scientific commitee member at Netmob, MIT.
Visualisations beneath produced by Pål Sundsøy.

High-Profile Research

Co-authored with MIT Media Lab, Flowminder, Worldpop. Published in Royal Society Interface (2017).

Selected Press
Poverty mapped in near real-time (Seeker)
Phone and satellite data flesh out high resolution poverty map(newatlas)
Mobile phone and satellite data to map poverty(phys.org)
Co-authored with MIT Media Lab, Flowminder. ArxiV:1612.03870 (2016).

Selected Press
How Metadata can reveal what your job is (Vice Media)
Pål Sundsøy
ArxiV:1607.01337 (2016)

Selected Press
MIT Technology Review , World Bank, Yahoo Finance, EnGadget.com, Mobile Today, Top Innovations.
Co-authored with MIT Media Lab.
International Conference on Artificial Intelligence (2016).
Co-authored with Harvard School of Publich Health.
Published in PNAS (2015)

Selected Press: 30+ newspapers. Harvard Magazine, Bill Gates @ Twitter, Science Daily, Economic Times, Science News line, The Nation, India Today, Dagens Næringsliv, Dagens Medisin, DIGI, NRK Radio, Nasdaq ++
Co-authored with MIT Media Lab.
Published in Springer (2014)
Selected Press :
Gates Foundation, Bostinno

Selected Press:
Wall Street Journal, MIT Technology Review, White House Big Data Report (under President Obama), Science News
Co-authored with Flowminder
Published in Global Environmental Change (2016)

Selected Press:
Climate and migration Coalition


Invited Speaker, United Nations Big Data conference, 2015 (Abu Dhabi): How Big Data can be used for Social Good and Poverty reduction

Senior Quant Analyst

NBIM is the investment arm of Norway's Central Bank that manages the world's largest sovereign wealth fund with assets of close to $900 billion USD.

Global Equity Models, Big Data Analytics, Machine Learning, Factor Investing, quantitative trading strategies, Systematic Risk.
Telenor Group

Senior Data Scientist

Working in Big Data Analytics Group at Telenor Group Research towards all business units (Asia, Europe). Collaborating with Data Science teams @ MiT, Harvard, Northeastern.
Work Reference (VP Analytics & AI)
Work Reference (VP Big Data Analytics)
European Space Agency

Head Engineer

2006 - 2007
Head Engineer in the joint NASA/ESA/JAXA Hinode space mission project. Financed by European Space Agency (ESA) and Norwegian Space Agency. Based at Institute of Theoretical Astrophysics, University of Oslo, Norway.
World Health Organization

Database Developer

Database Developer in the unit of Health statistics and evidence. Development of database in relation to vital registration systems, and work related to statistical analysis.
Biotechnology, NTNU

Database Developer

2008 - 2006
Research assistant/Database Developer in a cooperation project with the Museum of Natural History and Archaeology.
Physics, NTNU

Student assistant

2006 - 2004
Student assistant in FY2045 Quantum Physics/TFY4250 Atomic and molecular physics.


Massachussetts Institute of Technology (MIT), 2012 : Mapping out large-scale social networks using mobile phone data

Just my education

University of Oslo


Through seven publications this dissertation shows how anonymized mobile phone data can contribute to the social good and provide insights into human behaviour on a large scale. The size of the datasets analysed ranges from 500 million to 300 billion phone records, covering millions of people. Thesis Title: "Big Data for Social Sciences: Measuring human behaviour through large-scale mobile phone data".
Download Press Release (2 pages)
Download Thesis (167 pages)
NTNU, Trondheim

Msc Physics

1999 - 2005
Master (Siv.ing) in Physics and Mathematics. Additional studies within Economics & Organizational Psychology after Msc.
University of Geneva

PHD assistant

PHD assistant/Quantum Physics under guidance of Prof. Nicolas Gisin. Experimental quantum cryptography, quantum teleportation and quantum memory.
UNSW, Sydney

Exch. Student

Exchange student, one term. Studies within mathematical modelling and advanced quantum mechanics.
Bjerkely Country College

Computer science

MLine of study: Computer programming within C++. Directed study within C++.



I am a self-learned photographer, written 3 photography books, and my interest in photography started back in 2005. So far I have been travelling in 65 countries, and my favorite is Myanmar/Burma.
Go to my pictures
My picture story from Burma
June 2016: Burma Open Art Exhibition, Deichmanske Bibliotek, Nydalen, Oslo



Telenor Group Big Data Conf (2014) : Mapping out Large-scale Human Mobillity using mobile phone data

Let's Keep In Touch

Pål Sundsøy
0274 Oslo, Norway
+47 918 45 206

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Pål Sundsøy