The Ground Zero of Computational Gastronomy Making Food Computable Transforming Food with Artificial Intelligence
Computational Gastronomy is a groundbreaking approach to understand food through data science and artificial intelligence. We are transforming culinary arts into computational models, enabling new insights into nutrition, culture, and sustainability.
Building the world’s largest structured repositories for recipes, ingredients, flavors, and nutrition.
Developing intelligent algorithms to predict taste, analyze flavor pairing, model culinary similarity, and understand food at scale.
Using AI to create novel, culturally grounded, and scientifically informed recipes that balance taste, nutrition, and creativity.
Making Food Computable
Explore our suite of databases and AI tools designed for food researchers and enthusiasts.
A diverse group of researchers passionate about food, data, and science.
Pioneering computational gastronomy with an interdisciplinary background in physics, computer science, and computational biology.
Applying her computer science expertise to the field of computational gastronomy.
Analyzing food pairings in Indian cuisine and investigating the health benefits of herbs and spices.
Investigating neuronal wiring in C. elegans and brain networks from a systems biology perspective.
Focused on the systems biology of drugs, their targets, and adverse reactions.
Utilizing computational systems biology for drug discovery from medicinal plants.
Investigating the control mechanisms of molecular interactomes in cancer.
Leveraging a computer science background as a Machine Learning Engineer at Schlumberger.
Pursuing an M.S. in Data Science at Columbia University, with experience as a Senior Member Technical at D E Shaw Group.
A computer science graduate from IIT Jodhpur, now a specialist at Apple, with past roles at Airtel and TCS.
A Data Science intern at Meta, currently pursuing a Master's in Health Data Science at Harvard University.
A Ph.D. Research Scholar at the University of Lausanne, with a Master's in Computational Biology from IIIT-Delhi.
A Ph.D. Research Scholar in Cognitive Science at Johns Hopkins University, holding a B.Tech. (ECE) from IIIT-Delhi.
A technical member at NetApp, with an M.Tech. in CSE from IIIT-Delhi.
A Software Engineer at NatWest, holding an M.Tech. in CSE from IIIT-Delhi.
Pursuing a Master's degree at IIIT-Hyderabad, with experience at Mercedes-Benz R&D, Attentive.AI, and more.
A graduate student at Carnegie Mellon University's Language Technologies Institute.
Pursuing an M.S. in Robotics at Worcester Polytechnic Institute, with experience as a Robot Software Developer in Japan.
A Management Consulting Associate at Accenture, with a B.Tech (CSAM) from IIIT-Delhi.
A Graduate Research Assistant at Rice University in Houston.
A MERN stack developer at MangoVisa, and a graduate of Durham and Seneca Colleges in Canada.
Pursuing a Ph.D. at IIIT-Delhi, with an M.Tech. in Computational Biology from the same institution.
Currently pursuing an MS from IISER-Pune.
A Data Science Associate at ZS Associates, holding a B.Tech. in Mechanical Engineering from Delhi Technological University.
Pursuing a B.Tech. (ECE) from IIIT-Delhi, expecting to graduate in 2023.
Pursuing an MS in Computer Science (AI) at the University of Southern California, and a graduate of IIIT-Delhi.
A graduate student at the University of Maryland, College Park.
A Statistical Data Analyst and Bioinformatics Scientist at Washington University in St. Louis.
Holding a Ph.D. from Scuola Normale Superiore di Pisa, now a Postdoc at the University of Milan and part of the EXSCALATE project.
An annual gathering of food enthusiasts and researchers.
Guess a culinary word every day. Now in Beta testing.
Dr Ganesh Baglar explains his new approach to food
Can computers think like a chef? Rolling out soon.
IIIT-Delhi's Ratatouille uses AI to reimagine the science of cooking.
LinkedIn Blog: An argument for making food computable.
The Hindu on How Artificial Intelligence is changing the way we eat.
Establishing the foundations of Computational Gastronomy.
Data Mining Indian Recipes Reveals New Food Pairing Phenomenon.
A scientific explanation of what makes Indian food so delicious.
The physics and chemistry of food.
Ratatouille: A system that creates new recipes.
How the masala magic works.
Currying flavour.
A deep dive into traditional Indian cuisine from a computational perspective.
Uncovering the scientific basis of spice combinations and their effects.
The Great Indian Flavour - Exploring food through scientific inquiry.
Bridging traditional culinary wisdom with cutting-edge computational methods.
Built with published research and state-of-the-art models
Each data point has been cleaned, tagged and structured
Our data allows both high-level patterns and granular insights
Updates are grounded in the science of Computational Gastronomy
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We are looking for Research Interns and PhD candidates with skill sets in Data Science, Machine Learning, Deep Learning, Natural Language Processing, Python Programming, Algorithm Design, Database/Webserver Development, and Mobile App Design.
Social Buzz
Twitter
Prof. Ganesh Bagler
@gansbagsThe National (UAE) highlights computational gastronomy research from our lab.
"The Indian academic making the world look at flavours and food in a fresh way," Tania Bhattacharya, The National (UAE).
LinkedIn
Prof. Ganesh Bagler
Professor at IIIT-DelhiExcited to share our latest review on the role of data science in understanding food and health. This work, published in Nature Reviews, summarizes a decade of research in computational gastronomy. #DataScience #Health #Nutrition #Research
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