About Symposium

The 2025 Symposium aims to provide a forum for experts from the pharmaceutical industry, academia, and other key stakeholders to advance the use of AI in drug development and deployment. While AI has the potential to transform this paradigm, there is growing awareness of the challenges and unintended consequences that may arise. As personalized, evidence-based medicine becomes more prevalent, the use of AI to optimize drug deployment presents new and complex challenges. This symposium will serve as a platform for distinguished statisticians, data scientists, regulators, and other professionals to discuss the opportunities and challenges posed by AI in pharmaceutical medicine. It will also promote collaboration among industry, academia, regulatory agencies, and professional associations, with the goal of developing policy recommendations for the responsible implementation of AI in healthcare.

About IBSE

The Centre for Integrative Biology and Systems medicinE (IBSE) , a CoE, at IIT Madras is an interdisciplinary centre dedicated to pioneering innovative approaches and algorithms that integrate multi-dimensional data across scales, to understand, predict and manipulate complex biological systems. The centre closely collaborates with Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI) , one of the premier data science and AI centres in India.

Indian Institute of Technology Madras , Chennai, is the top-ranked engineering institute in the country; and encourages interdisciplinary research at the interface of engineering, including computer science and biomedicine. While being situated in the heart of a busy metropolis, Chennai, the campus boasts hundreds of acres of forests, which are also home to various birds and animals, including the endangered blackbuck.

Schedule

Day 1 - 10 September 2025

Time Speaker
08:30‑09:30  Registration
09:30 ‑10:00   Inauguration - Prof. Mahesh Panchagnula (Dean Emeritus, IIT Madras), Dr. Kannan Natarajan (Pfizer)
10:00-11:00 Keynote 1: Soumya Swaminathan
11:00-11:30 Tea Break/Poster Session
AI-driven causal inference | Chair: Demissie Alemayehu
11:30-12:00 Elizabeth Stuart - The promise and pitfalls of integrating data for causal inference, with application to mental health treatment
12:00-12:30 Javier Cabrera - New proposals in clinical study design based on applications of differential Hermite and Propensity Scores indices
12:30-13:00 Yong Chen - Principled AI for Drug Relabeling: Debiased Fine-Tuning of Foundation Models with Negative Controls in Real-World Data
13:00-14:00 Lunch
ML in early drug discovery | Chair: Veerendra Gadekar
14:00-14:30 Deva Priyakumar - AI Bias, Synthetic Datasets and Generative Models in Drug Design
14:30-15:00 Snehansu Saha - Adaptive learning rates for fast and interpretable inference
15:00-15:30 Karthik Raman - AI + Networks + Models: A Trifecta Reshaping Early-Stage Drug Discovery
15:30-16:00 Tea Break/Poster Session
Gen AI | Chair/ Moderator: Subha Madhavan
16:00-17:30 Talks + Panel Discussion

Panelists: Pratyush Kumar, Mercy Ranjit, Nirav Bhatt, Faisal Mahmood
17:30-18:30 RP Visit - Parallel Poster Session
18:45-19:45 Concert - TTJ Auditorium
19:45 onwards Dinner

11 September 2025

09:00‑09:30  Poster Session
Manufacturing, Translation | Chair: Narendra Dixit
09:30-10:00 Meiyappan Lakshmanan - Systematising animal cell based biotherapeutic manufacturing
10:00-10:30 Radha Rangarajan - Harnessing AI/ML for accelerating drug discovery
10:30-11:00 Prasad Chodavarapu - Beyond the Hype - Real world application of Agentic AI accelerating R&D and Care
11:00-11:30 Tea Break/Poster Session
Novel Methods and Applications | Chair: Karthik Raman
11:30-12:00 Krishna Bulusu (online) - AI for Precision Oncology
12:00-12:30 Thomas Cass - Mapping RNA Modifications using a novelty detection scheme for sequential data
12:30-13:30 Lunch
Innovative Health Monitoring and Intelligence Platforms for Personalized Care | Chair: Kannan Natarajan
13:30-14:00 Karthik Upadhya (MedRenova) - AI for drug repurposing: MedRenova's journey
14:00-14:30 KV Venkatesh (MetFlux) - From Complexity to Coherence: Investigative Physiology® for Drug Discovery RnD and Precision Health
14:30-15:00 Aditi Bhattacharya (UltraHuman) - Nighttime Tango: Deciphering the dynamics of Nocturnal Glucose and Sleep using Ultrahuman's wearable ecosystem
15:00-15:15 Tea Break
MIDD + AI - Quantitative Medicine | Chair: Rukmini Kumar
15:15-16:45 Talks + Panel Discussion

Panelists: Carolyn Cho, Narendra Dixit, James Lu
16:45-17:15 Valedictory (Debjit Biswas, Pfizer)
17:15-17:45 High Tea

Organizers

  • Demissie Alemayehu, Pfizer, USA
  • Rukmini Kumar, Vantage Research, India
  • Subha Madhavan, Pfizer, USA
  • Karthik Raman, IIT Madras

Programme Committee

  • Demissie Alemayehu, Pfizer, USA
  • Narendra Dixit, IISc Bengaluru
  • Rukmini Kumar, Vantage Research, India
  • Meiyappan Lakshmanan, IIT Madras
  • Tanishq Lodha, Pfizer, India
  • Subha Madhavan, Pfizer, USA
  • Tristan Naumann, Microsoft, USA
  • Karthik Raman, IIT Madras
  • Leo Joseph Russo, Pfizer, USA

Speakers &Panelists

Register

Registration for this symposium is open: click here .

Important Deadlines - Registration

July 4, 2025 International Participants
August 22, 2025 Indian Participants

Registrations will be screened, and only the selected participants will be notified for payment. Early bird rates apply to all those who submit the form before July 18.


Registration fees

Category Fee (+18% GST)
IITM Students ₹ 4000
Other Students ₹ 6000
Researchers ₹ 8000
Startups ₹ 10000
Faculty ₹ 10000
Industry ₹ 12000

Sponsors

Conference Funding

IBSE is grateful to Pfizer, India, for being a Platinum sponsor for AIPM 2025!

IBSE Funding

IBSE is grateful to Dr. Prakash Arunachalam , Lead Data Scientist, BNY Mellon, USA, for his generous contribution supporting the IBSE and funding the IBSE International Symposia and various other IBSE activities through the Office of Alumni and Corporate Relations, IIT Madras.

Acknowledgements

IBSE is grateful to Prof. Ashok Venkitaraman, Mehta Distinguished Chair, IIT Madras, and Director, Cancer Science Institute of Singapore, NUS Center for Cancer Research, Singapore, for his continued mentorship.

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