'Computational Gastronomy' presents an all-new paradigm for data-driven investigations of food and
cooking,
considered to be artistic endeavors.
We build keystone data repositories for food. RecipeDB, FlavorDB, BitterSweet, DietRx, SpiceRx & Ayurveda Informatics.
We create algorithms for analyzing food data. Food pairing analysis, culinary fingerprints, taste & sweetness prediction.
Among other exciting things, we are 'generating novel recipes' using artificial Intelligence.
Making Food Computable with Data Science and Artificial Intelligence.
A structured repository of recipes from across the globe
A repository of flavor molecules found in food ingredients
A platform for exploring the health impacts of culinary herbs and spices
A platform for exploring the health impact of dietary ingredients
A repository of carbon footprints of recipes
Generating novel recipes with Artificial Intelligence
A webserver for predicting BitterSweet taste molecules
State of the art ML algorithms to predict sweetness
A food-based word game to budge into eating better
A computable database of Ayurveda
Setting the foundations of data-driven food innovations
Lab Director
Prof. Ganesh Bagler is considered the pioneer of computational gastronomy. Trained in physics, computer science, and compuationational biology, Ganesh enjoys exploring diverse topics.
PhD Research Scholar
Mansi is trained in computer science at undergraduate and postgraduate level. She is working on applications of computational gastronomy.
PhD Research Scholar
Trained in linguistics, Rakhi worked on food pairing analysis in the Indian cuisine. She also investigatd the health impacts of herbs and spices.
PhD Research Scholar
Trained as a dentist and a bioinformatician Rahul investigated the control mechanisms of neuronal wiring in C. elegans and system biological phenomena in brain networks.
PhD Research Scholar
Trained as a computer scientist, Rakesh investigated the mechanisms of drugs, targets and adverse reactions from a systems biological perspective.
PhD Research Scholar
A biotechnogist by training, Shivalika worked on computational systems biological analysis of medicinal plants data aimed at drug discovery.
PhD Research Scholar
Vandana investigated the control mechanisms of molecular interactomes underlying cancer.
Research Intern
Machine Learning Engineer at Schlumberger. Computer Science graduate from USC.
Research Intern
Pursuing M.S. in Data Science from Columbia University. Worked at D E Shaw Group as a Senior Member Technical.
Research Intern
Specialist at Apple, Airtel, and TCS. Computer Science graduate from IIT Jodhpur.
Research Intern
Data Science intern at Meta. Pursuing Masters in Health Data Science from Harward University.
Research Intern
Ph.D. Research Scholar at University of Lausanne, Switzerlans. Masters in Computational Biology from IIIT-Delhi.
Research Intern
Ph.D. Research Scholar at Cognitive Science Department, Johns Hopkins University. B.Tech.(ECE) from IIIT-Delhi.
Research Intern
Technical member at NetApp. M.Tech. in CSE from IIIT-Delhi.
Research Intern
Software Engineer at NatWest. M.Tech. in CSE from IIIT-Delhi.
Research Intern
Pursuing Masters degree at IIIT-Hyderabad. Worked as at Mercedes-Benz R&D, Attentive.AI, Ambient.AI, Coding Blocks, and Omnipresent Robot.
Research Intern
Graduate Student at Carnegie Mellon University (LTI, Computer Science).
Research Intern
Pursuing M.S. in Robotics from Worcester Polytechnic Institute. Previously worked as a Robot Software Developer for iPresence, Japan.
Research Intern
Management Consulting Associate at Accenture. B.Tech (CSAM) from IIIT-Delhi.
Research Intern
Graduate Research Assistant at Rice University, Houston.
Research Intern
Graduate from Durham College and Seneca College (Canada). MERN stack developer at MangoVisa.
Research Intern
Pursuing Ph.D. at IIIT-Delhi. M.Tech. in Computational Biology from IIIT-Delhi.
Research Intern
Pursuing MS from IISER-Pune.
Research Intern
Data Science Associate at ZS Associates. B.Tec. (Mechanical Engineering) from Delhi Technological University.
Research Intern
Pursuing B.Tech. (ECE) from IIIT-Delhi. 2023 Batch.
Research Intern
Pursuing MS in Computer Science (Artificial Intelligence) at the University of Southern California. Graduate from IIIT-Delhi.
Research Intern
Graduate Student at the University of Maryland, College Park.
Research Intern
Statistical Data Analyst - Bioinformatics Scientist, Washington University in St. Louis.
Research Intern
Ph.D. from Scuola Normale Superiore di Pisa, Italy. Postdoc at University of Milan. Part of EXSCALATE project (Horizon 2020).
Join us: 10 December 2023
An annual gathering of food enthusiasts.
Symposium on Computational Gastronomy
Kaggle Challenges for Data Scientists. Which cuisine is that?
Can computers think like a chef?
Rolling out soon.
Symposium
on Computational Gastronomy
LinkedIn Blog
An argument for making food computable.
Symposium on Computational Gastronomy
Establising the foundations of Computational Gastronomy
The Ground-Zero of Computational Gastronomy
Food Pairing in Indian Cuisine
Scientists have figured out what makes Indian food so delicious
The Secret Ingredient: A Chapter in the book
The Indian Pantry
The Magic of Indian Spices by Vir Sanghvi
Hindustan Times
Spices form the basic of food pairing in Indian cuisine
The Great Indian Cuisine
Course of YouTube
Open Computational Gastronomy.
Year | Title (Click to View) |
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Making a case for data-driven explorations of food
Prof. Ganesh Bagler
Infosys Center for Artificial Intelligence
Department of Computational Biology, IIIT-Delhi, New Delhi
bagler+cosylab@iiitd.ac.in
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