CBR AI Conclave 2026

Programme & Schedule

26 Oct 2026 – 27 Oct 2026 · J N Tata Auditorium

08:30 AM
09:30 AM
Registration
09:30 AM
09:35 AM
Welcome Address
Prof. K.V.S. Hari, Director, Centre for Brain Research
09:35 AM
10:00 AM
Inaugural Address by the Dignitaries
Dr. M. Srinivas, Member (Health), NITI Aayog, Govt. of India
Prof. Govindan Rangarajan, Director, Indian Institute of Science
Dr. Kris Gopalakrishnan, Trustee, Pratiksha Trust
10:00 AM
10:40 AM
Keynote Address
Prof. K. VijayRaghavan, Emeritus Professor, National Centre for Biological Sciences
10:40 AM
11:00 AM
Special Address
Prof. Siddharthan Chandran, Director, UK Dementia Research Institute
11:00 AM
11:05 AM
Announcement of the AI Challenge finalists
11:05 AM
11:45 AM
Tea/Coffee Break
11:45 AM
01:05 PM
Session 1: AI methods and algorithms for data representation and discovery
Moderated by Prof. Vijay Chandru, CrisprBits; Visiting Faculty, CBR
11:45 AM
12:05 PM
Identifying latent structure without reconstruction
Maneesh Sahani · Gatsby Computational Unit, University College London
12:05 PM
12:25 PM
Beyond Visual Realism: Verifying Disease Representation in Generative AI
Tanveer Syeda Mahmood · Stanford University
12:25 PM
12:45 PM
Circulating DNA Genomics + AI for early cancer detection
Ramesh Hariharan · Strand Life Sciences
12:45 PM
01:05 PM
Q & A for Session 1
01:05 PM
02:15 PM
Lunch Break
02:15 PM
03:35 PM
Session 2: Modelling complex data: From scientific inference to foundation models
Moderated by Prof. Bapi Raju, International Institute of Information Technology Hyderabad
02:15 PM
02:35 PM
Advances in the Modelling of Longitudinal Neuroimaging Data
Thomas E. Nichols · Big Data Institute, University of Oxford
02:35 PM
02:55 PM
Models, Networks and AI: A synergy for multi-omic data analysis
Karthik Raman · Wadhwani School of Data Science & Artificial Intelligence, Indian Institute of Technology Madras
02:55 PM
03:15 PM
IndiNeuroFM: Building a Sovereign Multimodal Foundation Model for Neurological Care in India
Phaneendra K. Yalavarthy · Computational and Data Sciences (CDS), Indian Institute of Science
03:15 PM
03:35 PM
How AI can change drawing conclusions from experimental data
Francesco Locatello · Institute of Science and Technology Austria
03:35 PM
04:00 PM
Q & A for Session 2
04:00 PM
04:40 PM
Tea/Coffee & Networking
04:40 PM
05:30 PM
Presentations by AI Challenge Finalists
Moderated by Dr. Srinivas Kadaba & Dr. Palash Kumar Malo, CBR
09:30 AM
11:10 AM
Session 3: From population-level risk to precision therapies: AI across the neurodegeneration continuum
Moderated by Prof. Deepak Nair, Indian Institute of Science
09:30 AM
09:50 AM
Nationwide disease prediction from electronic health records and genetics
Andrea Ganna · Institute for Molecular Medicine Finland, University of Helsinki
09:50 AM
10:10 AM
Using AI to predict dementia
Valentina Escott-Price · Cardiff University & UK Dementia Research Institute at Cardiff
10:10 AM
10:30 AM
[Title: TBD]
Panna Sharma · Lantern Pharma Inc.
10:30 AM
10:50 AM
Quantum Computing enabled Machine Learning for affordable Drug Discovery and Therapeutics
Krishna Palem · Accelequant Inc.
10:50 AM
11:10 AM
Q & A for Session 3
11:10 AM
11:50 AM
Tea/Coffee Break
11:50 AM
12:50 PM
Panel discussion on the use of AI and digital technologies in clinical settings and care giving pathway
Moderated by Dr. Jonas S Sundarakumar, CBR
12:50 PM
02:00 PM
Lunch Break
02:00 PM
03:20 PM
Session 4: Governance, leadership, and society: Building responsible systems
Moderated by Dr. Sindura Ganapathi, CBR
02:00 PM
02:20 PM
Regulating a Transformational Technology
Rahul Matthan · Trilegal
02:20 PM
02:40 PM
[Title: TBD]
Shailender Swaminathan · Sapien Labs Centre for Human Brain and Mind, Krea University
02:40 PM
03:00 PM
From Data Silos to Research Intelligence: A Governed Platform Model for Clinical Research Organisations
Inder S Gopal · Centre of Data for Public Good, Indian Institute of Science
03:00 PM
03:20 PM
Q & A for Session 4
03:20 PM
04:00 PM
Tea/Coffee Break
04:00 PM
05:20 PM
Session 5: Integrating population-level datasets and AI for translational insights
Moderated by Prof. Prathosh AP, Indian Institute of Science
04:00 PM
04:20 PM
From Cells to the Whole Human Brain: AI-Enabled Imaging Across the Lifespan
Keerthi Ram · Sudha Gopalakrishnan Brain Centre, Indian Institute of Technology Madras
04:20 PM
04:40 PM
LURIA: A Neurocognitive World Model for Brain Aging and Decline
Mercy Ranjit · Microsoft Research India
04:40 PM
05:00 PM
A multidimensional approach to dissect mental disorders: From resource development to biological discovery
Shriya Palchaudhuri · Rohini Nilekani Centre for Brain and Mind - National Centre for Biological Sciences
05:00 PM
05:20 PM
Q & A for Session 5
05:20 PM
05:30 PM
Concluding remarks

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