Pushing the boundaries of technology to create positive global impact.
Biography
Dr Chanuki Illushka Seresinhe has spent 25 years building digital products and leading data science teams. Her work spans commercial AI, published research and public benefit.
She was Chief Data and Technology Officer at Boon, where she led the build of a platform combining AI, psychology and human expertise to help organisations make decisions in high-stakes situations. Before that, at Zoopla and Hometrack, she led the data science team that brought machine learning into the UK's leading automated valuation model, used by 17 of the top 20 mortgage lenders. She began her commercial data science career at Channel 4, building ML products to improve the viewer experience, and went on to become Director of Data Science at Culture Trip.
Chanuki is co-founder of Beautifulplaces.ai, which grew out of her doctoral research at the University of Warwick and the Alan Turing Institute. There she used large online datasets and deep learning to study the relationship between the visual appeal of our surroundings and our wellbeing. Beautifulplaces.ai is building the world's first high-resolution map of beautiful places. Its iOS and Android apps and data API already cover more than 100,000 curated locations around the world, serving clients across property and travel.
Her research has been covered by the Economist, Wired, The Times, Newsweek, The New York Times and the BBC. She has spoken at conferences around the world, including the House of Beautiful Business, the Generative AI Summit in London, YOW! in Melbourne, Brisbane and Sydney, the World AI Summit in Amsterdam, and The Turing Presents: AI UK.
Before data science, she ran her own digital design consultancy in London for over eight years, working with organisations including the Tate, Design Museum, Dezeen, Zaha Hadid Architects, NESTA, the Gulbenkian Foundation and the Royal Academy, with professional experience in California, New York and Paris.
She holds a Data Science PhD from Warwick Business School, University of Warwick (2014–2018), and a Behavioural and Economic Science MSc with Distinction from the University of Warwick (2013–2014).
Press & Videos
Google Public Policy Working together to build AI responsibly
BBC Click Algorithm learns to understand natural beauty
The Economist Computer analysis of what is scenic may help town planners
Wired An AI has been trained to understand beauty
The New York Times That Artsy Mural on a Brooklyn Building? It is a Whiskey Ad.
The Times Beautiful cities hold the key to happiness
Wired Why Google Maps and Citymapper are terrible for walking directions
Quartz What two centuries of book publishing tell us about the “good old days”
Newsweek: This was the lowest point in U.S. history in terms of the nation's happiness.
Telegraph Britain 'became happier' after Margaret Thatcher became Prime Minister
MIT Technology Review Were people really happier in the past? Millions of pieces of text suggest not
The Times Victorian times were happiest, study of the national mood finds
Scientific American Scenic City Sights Linked to Higher Happiness
Nesta Report Street style: machine learning takes to the streets
The Times City vistas prove easier on eye than green belt
Scientific American 60-Second Science Teaching Computers to Enjoy the View
Microsoft Accelerating data science at the Alan Turing Institute with Microsoft Azure
Guardian Beauty spot or landscape blot? Computer trained to judge scenery
Scientific American 60-Second Science: Photos Tagged as Art Linked to Rising Property Prices
Guardian Does a pretty office make a productive workforce?
Interviewed on Channel 4 Phil Spencer's Perfect Home: "Home Office" episode
Invited Talks & Presentations
Mothership Earth Summit® 2025, Global, October 2025
AE: Global Summit on Open Problems for AI, London, October 2024
Brave New World, Leiden, The Netherlands, September 2024
Lead Dev – Staffplus, London, June 2024
House of Beautiful Business - The Gathering, Tangier Morocco, May 2024
Generative AI Summit, London, May 2024
Generative AI Marketing Summit, London, February 2024
YOW! 2023 Melbourne, Brisbane, Sydney, November 2023
World AI Summit in Amsterdam, October 2023
Festival Of place, July 2023
Generative AI Summit, May 2023
J on the Beach, Malaga, May 2023
The Rise of Generative AI, Reuters Events, March 2023
Every Woman in Tech Forum, March 2023
Beauty: Who Cares, Wins! Joint conference with RIBA and the Office for Place, February 2023
Women of Silicon Roundabout Conference, November 2022
Bright Ideas Gathering, October 2022
Re-Work Deep Learning Summit, September 2022
AI and YOU Podcast, AUGUST 2022
Women of Silicon Roundabout Conference, November 2021
The AI Summit, September 2021
The Turing Presents: AI UK, March 2021
Social science FOO Camp, Facebook HQ, February 2020
Beyond Conference, R&D conference for the creative industries, Edinburgh, 2019
Data for good, Behavioural Exchange, September 2019
The Festival of Place, London, July 2019
RE-WORK Women in AI, London, June 2019
What can machine learning reveal about beautiful places?, London, May 2019
Creating Communities Create Streets Conference The importance of Good design, London, March 2019
Data Matters at Skillsmatter London, March 2019
LSE Centre for Economic Performance Wellbeing Seminar Series, London, October 2018
Keynote Speaker, Infinit Conf 2018 London, July 2018
Behavioural Science Summit 2018, University of Warwick, June 2018
COGX18, the Alan Turing Institute research stage, London, June 2018
SoapBox Science (public outreach platform for promoting women scientists) London, May 2018
YOW! 2017 Melbourne, Brisbane, Sydney, November 2017
Open Data Science Conference London, October 2017
Keynote Speaker, InfiniteConf 2017 London, July 2017
COGX17 - AI and Mental Health Panel, London, July 2017
OpenTech 2017 London, June 2017
Data Beers London, June 2017
The Alan Turing Institute Short talk, April 2017
Warwick Medical School University of Warwick, January 2017
Data Beers Warwick University of Warwick, December 2016
Science & Technology Select Committee visit, Alan Turing Institute London, November 2016
Data Science and Government Conference Blavatnik School of Government, University of Oxford, June 2016
Future Cities Forum, RIBA London, June 2016
Publications & Policy Briefs
Using Deep Learning to Quantify the Beauty of Outdoor Places
Seresinhe, C. I., Preis, T., & Moat, H. S. (2017) Royal Society Open Science, 4(7), 170170
Generative AI for Architectural Façade Design: Measuring Perceptual Alignment Across Geographical, Objective, and Affective Descriptors. Law, S., Valentine, C., Kahlon, Y., Seresinhe, C., Tang, J., Gath Morad, M., Fujii, H. (2025) Buildings, 15(17), 3212
Is Happiness Greater in More Scenic Locations? Large Scale Evidence From Mobile Phone And Online Data.
Seresinhe, C. I., Preis, T., Mackerron, G. & Moat, H. S. (2019) Scientific Reports, 9, 4498
Street-Frontage-Net: urban image classification using deep convolutional neural networks
Law, S., Seresinhe, C. I., Shen, Y. & Gutierrez-Roig, M. (2018). Street-Frontage-Net: urban image classification using deep convolutional neural networks. International Journal of Geographical Information Science, 1-27
Historical Analysis of National Subjective Wellbeing using Millions of Digitized Books
Hills, T., Seresinhe, C. I., Proto, E., Sgroi, D.(2019). Nature Human Behaviour, Volume 3, 1271–1275
An application of convolutional neural network in street image classification: the case study of london.
Law, S., Shen, Y. and Seresinhe, C., (2017) In Proc. of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery, Redondo Beach, CA, 07 – 10 October 2017, 5-9
Quantifying the Impact of Scenic Environments on Health
Seresinhe, C. I., Preis, T., & Moat, H. S. (2015) Scientific Reports, 5, 16899
Quantifying the Link Between Art and Property Prices in Urban Neighbourhoods
Seresinhe, C. I., Moat, H. S., & Preis, T. (2016) Royal Society Open Science, 3(4), 160146
Quantifying Scenic Areas Using Crowdsourced Data
Seresinhe, C. I., Moat, H. S., & Preis, T. (2018) Environment and Planning B: Urban Analytics and City Science, 45(3), 567-582
Policy Brief: Using Deep Learning to Quantify the Beauty of Outdoor Places
Chanuki Seresinhe, Suzy Moat and Tobias Preis,
Warwick Business School, University of Warwick