Close-up of Chanuki Seresinhe wearing a yellow floral top and red beaded hoop earrings, looking to the side against a coral background.

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


Chanuki Seresinhe speaking in the BBC Click interview setting.

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


Chanuki Seresinhe giving a presentation on stage at a conference. Slide titled 'Measuring Beauty with AI,' featuring sample images of cityscapes from multiple cities around the world, and text mentioning 2 million images, 21 cities, and 3 continents.

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

Ada Lovelace Day Live! (international celebration of the achievements of women in STEM) London, October 2018

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

PhD Thesis:From landscapes to cityscapes: Quantifying the connection between scenic beauty and human wellbeing