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Adrian Grzybowski

Chief Scientific Officer
AnuBio

Adrian Grzybowski

Chief Scientific Officer
AnuBio

Adrian Grzybowski

Chief Scientific Officer
AnuBio
 

Andrea Costanzo

ARDMS OBGYN

Andrea Costanzo

ARDMS OBGYN

Andrea Costanzo

ARDMS OBGYN
Innovation Incubator Finalists
Welcome Remarks

Author:

Dave Cooney

Head of GTM Strategy
Helix AI

David Cooney is the Head of GTM strategy at HelixAI and former Strategic Client Partner at Causaly AI and former Associate Partner at McKinsey, focused on AI in life sciences R&D. He has led GTM strategy, value proposition design, and enterprise partnerships across top-20 pharma, building multimillion-dollar pipelines and shaping AI product-packaging and partnership 

Dave Cooney

Head of GTM Strategy
Helix AI

David Cooney is the Head of GTM strategy at HelixAI and former Strategic Client Partner at Causaly AI and former Associate Partner at McKinsey, focused on AI in life sciences R&D. He has led GTM strategy, value proposition design, and enterprise partnerships across top-20 pharma, building multimillion-dollar pipelines and shaping AI product-packaging and partnership 

Moderator

Author:

Venkatesh Moktali, PhD

Director, Product Management, Knowledge Bases
QIAGEN Digital Insights

Venkatesh Moktali, PhD

Director, Product Management, Knowledge Bases
QIAGEN Digital Insights

Author:

Joseph Pearson

Director, Global Product Management OmicSoft
QIAGEN Digital Insights

Joseph Pearson

Director, Global Product Management OmicSoft
QIAGEN Digital Insights

Author:

Ethan Pickering

Head, Data Science & ML Research
Bayer

Ethan Pickering

Head, Data Science & ML Research
Bayer

Author:

Peter Clark

Vice President, Digital Chemistry & Design
Novo Nordisk RDUS

Peter Clark

Vice President, Digital Chemistry & Design
Novo Nordisk RDUS

Author:

Paul Lebeau

Commercial Development Lead
Cytocast

Paul Lebeau

Commercial Development Lead
Cytocast

SPR wet lab workflows are currently costly and not efficient when large affinity datasets are required for AI model fine-tuning, training, or validation. This results in use of lower resolution BLI or qualitative pull-down library-based assays for affinity data for AI training. This presentation will demonstrate how SPOC technology can be used to synthesize, purify, and obtain true kinetic data (on-rate, off-rate, affinity, and residence time) for thousands of antibody or protein variants against multiple targets in a matter of weeks – generating tens of thousands of datapoints for integration into AI models. 

Author:

Lydia Gushgari, PhD

Chief of Staff
SPOC Biosciences

Lydia Gushgari, PhD

Chief of Staff
SPOC Biosciences
 

Arthur Liberzon

Director, AI Research Lead for Omics, Oncology Data Science
AstraZeneca

Arthur Liberzon

Director, AI Research Lead for Omics, Oncology Data Science
AstraZeneca

Arthur Liberzon

Director, AI Research Lead for Omics, Oncology Data Science
AstraZeneca