Schedule

19:00 - 21:00   Registration

Dinner

08:50 - 09:00   Introduction

09:00 - 11:00   Lecture

Praneet Netrapalli, Google Research (India) Deep Learning for Scientific Applications: Focus on Neural Networks, transformers and LLM, Training Models (and applications in structural bioinformatics)

11:00 - 11:30   Poster Session

Coffee Break

11:30 - 12:30   Selected Talks from Abstracts

[1] Adhikari, Subinoy & [2] Vattipally, Sreenu

12:30 - 13:30   Lecture

Seema Nagar, IBM Research (India) Graph Modelling (GNN and Graph Transformers)

13:30 - 15:30   Lunch

15:30 - 16:30   Lecture

Prateeti Mohapatra, IBM Research (India) Understanding and Designing Agentic AI workflows

16:30 - 18:30   Practical session

Praneet Netrapalli (Google Deep Mind), Prateeti Mohapatra and Seema Nagar, IBM Research (India) Hands-on practical in building and training simple DL models. Graph Transformer demo, Agentic AI demo

19:30 – 20:30   Dinner

09:00 - 10:00   Lecture

Joseph Ellaway, EMBL-EBI (UK) AlphaFold: A Case Study in Deep Learning for Protein Structure Prediction

10:00 - 11:00   Selected Talks from Abstracts

[1] Verma, Shailya & [2] Dey, Sucharita

11:00 - 11:30   Poster Session

Coffee Break

11:30 - 12:30   Lecture

Arnab Mukherjee, IISER-Pune (India) Reinforcement learning, the basics

12:30 - 13:30   Seminar

EURAXESS-India

13:30 - 15:30   Lunch

15:30 - 17:30   Practical Session

Joseph Ellaway, EMBL-EBI (UK) The AlphaFold algorithm, training data, and accuracy in structure prediction. In-depth AlphaFold training with case studies and structure prediction exercises

17:30 - 18:30   Seminar

CEO Amith Singhee, IBM India Research Lab & Organisers : Career options

18:30 – 19:30   Poster Session

19:30 – 20:30   Dinner

09:00 - 10:00   Lecture

Alisa Khramushin EPFL, (Switzerland), Generative models for biomolecular design.

10:00 - 11:00   Lecture

Jagannath Mondal TIFR Hyderabad (India) Representaion Learning Structural biology (NLDR and Autoencoders in Biomolecular Conformations)

11:00 - 11:30   Poster Session

Coffee Break

11:30 - 12:30   Lecture

Alisa Khramushin EPFL (Switzerland)

12:30 - 13:30   Lecture

Arnab Mukherjee, IISER-Pune (India) Reinforcement learning. Details with examples

13:30 - 15:30   Lunch

15:30 - 17:30   Practical Session

Jagannath Mondal, TIFR Hyderabad (India) Large language models for protein dynamics. Diffusion Models in proteins design

18:00 – 19:30   Poster Session

19:30 – 20:30   Dinner

09:30 - 10:30   Selected Talks from Abstracts

[1] Mukherjee, Beas [2] Mathur, Raghav, [3] Ghosh, Megha

10:30 - 11:00   Poster Session

Coffee Break

11:00 - 12:30   Lecture

Geoffrey Smith (UK) Boltz - Build Better Molecules with AI

12:30 - 13:30   Selected Talks from Abstracts

[1] Balaji, Roshan, [2] K, Sreeharsh, [3] Pal, Namrata

13:30 - 15:30   Lunch

15:30 - 16:30   Seminar

Andrew Turner, Edinburgh Parallel Computing Centre (UK) Sustainable AI

16:30 – 19:30   Practical Session

Geoffrey Smith (UK) Boltz - Build Better Molecules with AI

19:30 – 20:30   Dinner

09:00 - 10:30   Lecture

Schneidman, Dina (Israel) Deep Generative Models for Sampling at Equilibrium

10:30 - 11:00   Poster Session

Coffee Break

11:00 - 13:00   Practical session

Viswanath, Shruthi, NCBS, Bangalore (India) Understanding and Applying Protein Language Models

13:00 – 13:30   CLOSE Session + Feedback

Organisers

13:30 - 15:30   Lunch

19:30 – 21:30   Gala Dinner

08:30 - 17:30   Excursion