Passionate about finding ways to solve many of the world's most challenging problems using creative thinking combined with cutting edge technologies such as deep learning.
Chanuki Illushka Seresinhe is the Lead Data Scientist at Popsa (using AI to automatically curate photo content ) and a visiting data science researcher at the Alan Turing Institute (the UK national institute for data science and artificial intelligence). Chanuki's research entails using big online datasets and deep learning to understand how the aesthetics of the environment influences human wellbeing. For example, how might we design our future cities to be conducive to our wellbeing?
Her research has been featured in the press worldwide including the Economist, Wired, The Times, BBC, Spiegel Online, Guardian, Telegraph and Scientific American. She also works as a freelance data scientist at Channel 4. She received her PhD from the Data Science Lab, Warwick Business School, University of Warwick.
Prior to embarking on her PhD, Chanuki had a successful design career that included running her own digital design consultancy for over eight years in London, advising clients, including the Tate, Design Museum, Dezeen, NESTA and the Gulbenkian Foundation how to present their businesses successfully online. She has also worked as a digital designer in California, New York and Paris.
LEAD DATA SCIENTIST at POPSA
April 2019 - Present
Using artificial intelligence to automatically curate people’s unorganised photography content into beautifully designed physical products.
Senior Data Scientist at Channel 4
October 2018 - March 2019
Building Machine Learning/Artificial Intelligence products to help improve the Channel 4 viewer experience.
AlAn Turing Institute (national institute for data science and artificial intelligence), PHD Enrichment progamme & VISITING researcher
September 2016 - Present
Applying deep learning techniques to images of urban locations in order to explore which visual features of the environment might impact the wellbeing of city residents.
Data Science Lab, Warwick Business School, UNIVERSITY OF WARWICK, Doctoral researcher
September 2014 - June 2018
My PhD involved using big online data sets, from such sources as Flickr and Twitter, and deep learning to understand how the aesthetics of the built and natural environment impacts our wellbeing. Teaching activities include mentoring on the FutureLearn MOOC Big Data: Measuring and Predicting Human Behaviour.
DIGITAL DESIGN CONSULTANT
2010 - 2014
Advising clients on the creative and strategic use of digital technologies (while I returned to university to study business economics and behavioural and economic science).
Micha Weidmann Studio / Design Science Office, Director & Co-Founder
2003 - 2009
A digital design consultancy specialising in identities, websites, and online and offline publications for the arts, culture, and design. Clients included the Design Museum, the Royal Academy, Tate, Dezeen, Fornasetti, Modus Publicity and Zaha Hadid Architects.
I directed the work environment where projects flourished, in turn delivering the end results so valued by our clients. Some of our key achievements included:
Following the redesign of Dezeen, visitors to the leading design and architecture online magazine more than doubled, reaching over 650,000 a month. Universally praised by leading figures in the industry, the redesigned Dezeen made Design Week’s Hot 50 and Time magazine’s Design 100 list of the most influential forces in global design.
Content strategy and design consultation for the Design Museum Shop resulted in a tenfold increase in monthly revenue within six months. In collaboration with search engine optimisation experts Koded, we helped the Design Museum achieve a top-5 position in Google for the coveted keyword “design”.
recollective, Director & Co-Founder
2001 - 2003
An award-winning online design consultancy with a focus on creating accessible websites backed by high-quality design principles for clients such as NESTA, the Audit Commission and Surrey County Council. My main role included project management and design of digital identities and interactive applications.
2000 - 2001
Design of digital identities and interactive applications on such award winning projects as the Getty Images Bloodbank (featured in the D&AD annual and nominated for a BIMA) and Conran.com (winner of both a BIMA and a London International Award).
Parsons School of Design, Paris, France, Lecturer
1999 – 2000
Lecturer of web design and development course.
Lumiere.com/Fashion.net, Paris, FrancE, Art Director
1999 – 2000
Design direction and online strategy for online fashion magazines, Fashion Net and Lumiere.
Agency.com, New York, designer
1998 – 1999
Design of digital identities and interactive applications for clients such as Gucci, Armstrong, and Johnson & Johnson.
A FEW OF MY FAvourite scenic SPOTS Around the world
Big Sur, California
The Broad, Los Angeles, California
Joshua Tree, California
Granary Square, London
The Gray's Inn Gardens, London
Broadway, the Cotswolds, England
Forth Bridge, Scotland
Loch Morlich, Cairngorms, Scotland
Reynisfjara Black Sand Beach, Iceland
Sydney Opera House, Australia
The City of Merida, Mexico
PUBLICATIONS & Policy Briefs
Seresinhe, C. I., Preis, T., & Moat, H. S. (2017) Royal Society Open Science, 4(7), 170170.
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.
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.
Hills, T., Seresinhe, C. I., Proto, E., Sgroi, D. Under review.
PHD Thesis: From landscapes to cityscapes: Quantifying the connection between scenic beauty and human wellbeing
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.
Seresinhe, C. I., Preis, T., & Moat, H. S. (2015) Scientific Reports, 5, 16899.
Seresinhe, C. I., Moat, H. S., & Preis, T. (2016) Royal Society Open Science, 3(4), 160146.
Seresinhe, C. I., Moat, H. S., & Preis, T. (2017) Environment and Planning B: Urban Analytics and City Science, published ahead of print.
Chanuki Seresinhe, Suzy Moat and Tobias Preis,
Warwick Business School, University of Warwick
INvited Talks & Presentations