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Oct 27, 2022

9:00 AM - 1:00 PM, PT

Hear from the best minds in the Biopharma space who will be sharing their know-how and best practices on data FAIRification for digital transformation in life sciences R&D and applying data-centric approaches to machine learning.

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Learn more about the event

COMING SOON

Agenda

Digital Transformation 2.0: Making AI initiatives Successful in R&D

Speaker: Abhishek Jha, Co-Founder & CEO at Elucidata

Keynote 1

Speaker: Chandni Valiathan, Director Modeling and Decision Sciences, Johnson & Johnson

Keynote  2

Speaker: Reenu Pandey, Associate Director- Informatics, Beam Tx

Data Strategy, Security & Governance in Biopharma, AWS

Speaker: Navneet Srivastava - Principal HCLS Data Lake and Analytics Specialist, AWS

Enabling Large-Scale Meta-Analysis

Speaker: Danny Wells - Chief Technical Officer, Santa Ana Bio

Building a Data-Centric ML-Ops platform

Speaker: Shefali Lathwal - Director- Data-centric AI, Elucidata

[Fireside Chat] Large vs. Small Models: A David-Goliath Story

Speaker: Ashutosh M, Assistant Professor- CSE Department, IIT-Kanpur

Speaker: Shashank Jatav, Director- Data Products, Elucidata

Data-Centric AI Track Presentation

Speaker: Rangaprasad Sangaraju - Chief Scientific Officer, Metabolon

What's Next for Polly - Product Roadmap

Speaker: Jainik Dedhia - Senior Product Manager, Elucidata

Speaker: Neychelle Fernandes - Director Solutions & Technical Sales, Elucidata

Digital Transformation 2.0: Making AI initiatives Successful in R&D

Speaker: Abhishek Jha - CEO & Co-Founder, Elucidata

Keynote 1

Speaker: Chandni Valiathan - Director Modeling and Decision Sciences, Johnson & Johnson

Keynote  2

Speaker: Reenu Pandey - Associate Director- Informatics, Beam Tx

Data Strategy, Security & Governance in Biopharma, AWS

Speaker: Navneet Srivastava - Principal HCLS Data Lake and Analytics Specialist, AWS

Applying  FAIR principles to Clinical Data

Speaker: Giovanni Nisato - Consultant, Project Manager FAIR Implementation, Pistoia Alliance

Clinical Data Management  for  R&D

Speaker: Swetabh Pathak - CTO & Co-Founder, Elucidata

Speaker: Krutika Gaonkar - Senior Solutions Architect, Elucidata

FAIR data for successful digital transformation

Speaker: Sophia Shalhout - Cutaneous Oncology Research Fellow, Massachusetts General Hospital

Speaker: Hugh Salamon - Director of Bioinformatics Scientific Strategy, Exelixis

Speaker: Gautham Sridharan - Principal Scientist, Alnylam Pharmaceuticals

Versioning Data & Models for rapid experimentation in ML

Speaker: Aneesh Karve - CTO, Quilt Data, Inc.

What's Next for Polly - Product Roadmap

Speaker: Jainik Dedhia - Senior Product Manager, Elucidata

Speaker: Neychelle Fernandes - Director Solutions & Technical Sales, Elucidata

All Speakers

Chandni Valiathan
Director Modeling and Decision Sciences, Johnson and Johnson
Reenu Pandey
Associate Director- Informatics, Beam Tx
Sophia Shalhout
Cutaneous Oncology Research Fellow, Massachusetts General Hospital
Giovanni Nisato
Consultant, Project Manager FAIR implementation, Pistoia Alliance
Hugh Salamon
Director of Bioinformatics Scientific Strategy, Exelixis
Aneesh Karve
CTO, Quilt Data, Inc.
Gautham Sridharan
Principal Scientist, Alnylam Pharmaceuticals
Rangaprasad Sarangarajan
Chief Scientific Officer, Metabolon
Danny Wells
Chief Technical Officer,
Santa Ana Bio
Ashutosh M.
Assistant Professor- CSE Department, IIT-Kanpur
Abhishek Jha
CEO & Co-Founder, Elucidata
Swetabh Pathak
CTO & Co-Founder, Elucidata
Jainik Dedhia
Senior Product Manager, Elucidata
Shashank Jatav
Director- Data Products, Elucidata
Shefali Lathwal
Director- Data-centric AI, Elucidata
Neychelle Fernandes
Director Solutions & Technical Sales, Elucidata
Krutika Gaonkar
Senior Solutions Architect, Elucidata

Why Attend DataFAIR 2022?

The spirit behind DataFAIR is to bring to light the recent advancements in AI/ML, and its expanding role in accelerating biological discovery. The biopharma industry is transforming at an unprecedented scale by emerging technologies that unlock data-rich workflows and AI is playing a pivotal role in solving complex problems involving multi-dimensional biological data. However, with big data come bigger problems. Troves of heterogeneous data sourced from different systems and stored in silos impede discovery. Register for DataFAIR 2022 to hear from experts who have successfully transformed data practices within their organizations to de-risk AI/ML initiatives with FAIRification and a data-centric approach.
Explore
ways to implement AI/ML in a reproducible manner.
Deep-Dive
into the data, infrastructure, and culture-related problems hindering successful AI/ML adoption.
Learn
the best practices and know-how to successfully implement AI/ML initiatives in your organizations.

Highlights from 2021

Decision Makers from Premier Biopharma Companies and Academic Institutions Participated in the Event

2K+

Views

15+

Speakers

12+

Themes

5+

Hours

More Details Coming Soon!