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Monday, Feb 7
10:00 AM – 11:30 AM

Lab design for the future

Location: 204AB
Katelyn Hardy – MOMA Therapeutics
Data Science and AI

Sponsored By: Celltrio
Monday, Feb 7
10:00 AM – 10:30 AM

How to position your biotech startup to be an innovation leader with a well-crafted data strategy

Location: 204AB
Katelyn Hardy – MOMA Therapeutics
Data Science and AI
Monday, Feb 7
10:30 AM – 11:00 AM

Interconnected Science Ecosystem for Smart Labs of the Future

Location: 204AB
Benjamin Mintz, Director of Interconnected Science Ecosystem – ORNL
Data Science and AI
Monday, Feb 7
11:00 AM – 11:30 AM

Accessible AI for Small Molecule Discovery Research: Considerations and Value Drivers

Location: 204AB
Tamsin Mansley, PhD, MRSC, CChem, CSci – Optibrium Limited
Data Science and AI
Monday, Feb 7
1:00 PM – 2:30 PM

Building the lab of the future

Location: 204AB
Data Science and AI
Monday, Feb 7
1:00 PM – 1:30 PM

Impact of Remote and Changing Workforce on Lab of the Future

Location: 204AB
Steven Moskowitz, PhD – Entegris
Data Science and AI
Monday, Feb 7
1:30 PM – 2:00 PM

How Artificial Intelligence techniques can be employed to increase the success rate for identifying Datamatrix Barcodes

Location: 204AB
Neil Benn, MSc – Ziath Ltd
Data Science and AI
Monday, Feb 7
2:00 PM – 2:30 PM

Accelerating the Drug Discovery Process with AI-driven Automation technologies: De novo design, Retrosynthesis and Scheduling

Location: 204AB
Rohit Arora, PhD – Iktos Inc
Data Science and AI
Monday, Feb 7
4:00 PM – 5:30 PM

Sustainability for the future

Location: 204AB
Katelyn Hardy – MOMA Therapeutics
Data Science and AI
Monday, Feb 7
4:00 PM – 4:30 PM

The Sweet Spot for Sustainable Labs of the Future

Location: 204AB
Julie Huxley-Jones, BSC Genetics, PhD Molecular Genetics and Computational Biology – GlaxoSmithKline
Data Science and AI
Monday, Feb 7
4:30 PM – 5:00 PM

Why a LIMS isn't enough: Building robust laboratory software landscapes

Location: 204AB
Garrett Peterson, MBA – Yahara Software
Data Science and AI
Monday, Feb 7
5:00 PM – 5:30 PM

Why Data Maturity is Essential to the Lab of the Future

Location: 204AB
Sridhar Iyengar, PhD from Cambridge University as a Marshall Scholar – Elemental Machines
Data Science and AI
Tuesday, Feb 8
10:00 AM – 11:30 AM

Integrating AI into the lab of the future

Location: 204AB
Marti Head, PhD – ORNL
Katelyn Hardy – MOMA Therapeutics
Data Science and AI
Tuesday, Feb 8
10:00 AM – 10:30 AM

Integrating Experiments and Machine Learning Models: Examples from the ATOM Consortium

Location: 204AB
Amanda K. Paulson, PhD – ATOM Consortium; Univ of California, San Francisco
Data Science and AI
Tuesday, Feb 8
10:30 AM – 11:00 AM

A.I. for the Future of Work in Biotech

Location: 204AB
Saiph Savage, PhD – Northeastern University
Data Science and AI
Tuesday, Feb 8
11:00 AM – 11:30 AM

Automated Image Analysis with Deep Learning to drive Cardiac Safety Profiling

Location: 204AB
Jeroen Overman, PhD – AstraZeneca
Data Science and AI
Tuesday, Feb 8
5:40 PM – 5:50 PM

A Python Module for Calculating Large-Scale Combinatorial Acoustic Liquid Handler Transfer Lists
Location: Poster Theater (300 Aisle)
Duane Currier, MS – St. Jude Children's Research Hospital
Data Science and AI
Wednesday, Feb 9
11:40 AM – 11:50 AM

Get Ready for JUMP-CP: Analysis of a Pilot Dataset Reveals Critical Insights for Platform Development
Location: Poster Theater (300 Aisle)
Victor SC Wong, Ph.D. – Core Life Analytics
Data Science and AI