TABLE OF CONTENTS
AGENDAS
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SPONSORS
PREMIUM
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GOLD
SILVER
BRONZE
TRACK THEMES
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R&D Success Takes
Culture | Data | Process | Technology
to Make Laboratories Efficient Again
Join us October 5-7, 2025, for a transformative Paperless Lab Academy® (PLA) conference in Orlando, Florida, USA, held in collaboration with 20/15 Visioneers. The event will focus on education and learning the skills necessary to achieve next-generation transformation in your labs and enhancing your personal skill set.
Talk Title
Automating Lab Processes and Workflows with AWS Agentic AI
Abstract
TBD
SPEAKERS
Talk Title
Turning Complex Data into Trusted Insights with Data products and LLMs
Abstract
TBD
David Harburger, Ph.D.
Shareholder
Greenburg Traurig
Talk Title
Building IP as an Asset for the Innovation Life Cycle
Abstract
TBD
Norman Azoulay
Vice President- Platforms & Data
Excelra
Talk Title
Attendees will hear about how current services and solutions leveraging AWS Agentic AI are already capable of automating common lab processes and workflows.
Abstract
TBD
Patrick Combes
Senior Principal of Technology, AWS STT
AWS
Wolfgang Colsman
CEO
ZONTAL
Talk Title
Smarter Labs, Faster Science: Turning Scientific Data into Predictive Power
Abstract
The promise of AI in science depends not only on powerful models, but on the ability to connect fragmented systems and harmonize diverse data sources. Today’s laboratories face significant challenges: siloed infrastructures, inconsistent data formats, and AI tools that cannot easily work together. This presentation examines how interoperability—across data, platforms, and AI agents—is the key to unlocking scale. We will explore strategies such as adopting open standards, building modular architectures, and enabling AI-to-AI collaboration to ensure data and tools flow seamlessly across disciplines. By creating FAIR, AI-ready data environments and fostering connected ecosystems, we can transform scientific workflows into integrated, predictive, and collaborative systems. The result: smarter labs, faster science, and breakthroughs that accelerate discovery.
Joseph Dremock
Senior Director
AstraZeneca
Talk Title
AstraZeneca's Next Generation Scientific PMO: From Project Management to Project Leadership
Abstract
TBD
Patrick Pijanowski
Founder & Managing Director
Scientia Advisory Services
Talk Title
PANEL DISCUSSION
Abstract
TBD
Talk Title
TBD
Abstract
TBD
Andrew Doran
Head of Laboratory Robotic & Process Automation
20/15 Visioneers
Talk Title
Beyond the Bench
Abstract
TBD
Talk Title
FAIR Data, FAIR Robots and the pursuit of the Orchestrated Lab
Abstract
TBD
Kelcy Newell, Ph.D.
Robotics & Automation Development & Innovation
Astrazeneca
Talk Title
FAIR Data, FAIR Robots and the pursuit of the Orchestrated Lab
Abstract
TBD
Holly Lynch
Consultant
Lynch Consulting
Talk Title
AI & Lab-in-the-Loop Strategies Redefining Partnerships with Next Gen CROs & TechBio
Abstract
The future of R&D is not just paperless, it is collaborative, intelligent, & adaptive. As biotech organizations have done for many years, they rely on CROs for speed & scale. However, the o[ortunity has shifted from simply outsourcing to building data-driven ecosystems that enable seamless, transparent collaboration. This talk explores how lab-in-the-loop approaches, powered by artificial intelligence and fast decision making are redefining the biotech - CRO relationship. Increasingly, embedding AI into experimental design, execution, and analysis, means partners can move from transactional engagements toward dynamic feedback loops where every experiment informs the next. The result: more predictive decision-making, accelerated discovery timelines, and a foundation for true innovation networks. Organizations who can reimagine “paperless” as “collaborative and intelligent” unlock not only operational efficiency, but also a competitive edge in an increasingly complex R&D landscape.
David Dalgarno
Former SVP, Digital & Data Science Technology
Kojin TX
Talk Title
Making In-Silico First Discovery a Reality: Insights from Integrating Data, Computation, and Technology to Enable Science in Small Biotech
Abstract
TBD
Dr. Raminderpal Singh
Global Head of AI & GenAI Practice
20/15 Visioneers
Talk Title
PANEL DISCUSSION
Abstract
TBD
William Warren
Co-Founder & Former VP, Head of Global Antigen Design
WKLW Consulting LLC, Sanofi
Talk Title
If your lab could talk back—what would it say about how you're using it?
Abstract
TBD
Michael Bradfield
Senior Staff Engineer
Takeda
Talk Title
TBD
Abstract
TBD
Patrick Courtney Ph.D.
Leader of Topic Group on Analytical Laboratory Robotics
SiLA
Talk Title
TBD
Abstract
TBD
Fred Bost
Talk Title
TBD
Abstract
TBD
Co-Founder & CEO
LabVoice
Rohit Singh
Head Of Clinical Data Science Visioneering
20/15 Visioneers
Talk Title
From Beside to Approval: The Journey Of Clinical Data Science
Abstract
The role of Clinical Data Science has expanded dramatically, influencing every level of the clinical trial ecosystem—from patients at the site to pharmaceutical companies, CROs, and regulatory agencies. This session will examine how data science tools, methods, and strategies have transformed the capture, cleaning, and interpretation of patient data, ensuring higher accuracy and safety monitoring at the site level. At the organizational level, we will explore how pharma and CROs leverage advanced analytics, crossfunctional collaboration, and vendor oversight to improve trial efficiency and data quality. Finally, we will discuss the regulatory
perspective, highlighting how data science innovations support submissions, compliance, and transparency to accelerate approvals.
Through real-world examples, attendees will gain insights into how Clinical Data Science continues to evolve as a critical driver of innovation, patient safety, and successful trial outcomes.
Director of Computational Chemistry
Rowan
Talk Title
Building ML-accelerated simulation tools for chemists
Abstract
Atomistic simulation tools offer a unique opportunity to provide insight into chemistry at an atomistic level and predictions of macroscopic properties with unprecedented accuracy. While traditional computational chemistry tools required dedicated computational chemistry experts and significant amounts of compute power, modern ML-accelerated tools can greatly simplify this process. Neural
network potentials (NNPs) can accelerate traditional physics-based methods, allowing them to quickly predict properties such as pKa, bond-dissociation energy (BDE), and reaction barriers. Pure-ML methods can avoid the physics simulation entirely and directly predict values such as binding affinity and solubility, providing timely results to traditional chemists.
Jonathon Vandezande
Shrika Eddula
Co-Founder & Scholar
Pedal, MIT
Talk Title
TBD
Abstract
TBD
Peter Smith
CEO
Semaphore Solutions
Talk Title
From BPMN to Knowledge Graph: Enabling FAIR Data and AI-Ready Audit Trails in Modern LIMS
Talk Title
This session explores how BPMN-driven workflow configuration, combined with a native knowledge graph, enables FAIR, AI-ready lab data. We’ll show how labs can move from whiteboard to execution using BPMN to both visualize and drive workflows—ensuring SOP compliance and rich contextual capture at every step. By mapping BPMN to Labbit’s knowledge graph, labs gain a connected provenance layer that automatically records samples, reagents, instruments, and actions for complete traceability, audit readiness, and AI-driven analytics.
Finally, we’ll demonstrate how Labbit makes this accessible with no-code BPMN tools and an AI-powered assistant, helping labs design, adapt, and scale workflows without coding.
John Conway
Founder & Chief Visioneer
20/15 Visioneers
Talk Title
TBD
Abstract
TBD
James White
Collaborative Communications
CDD Labs
Talk Title
Biology as Chemistry: Chemically Aware Data Management for Interdisciplinary Collaboration
Abstract
TBD
Stefan Golas
Talk Title
Rewriting the Stack: Python for NGS Automation
Abstract
Python interfaces provide massive developer efficiency boosts over traditional drag-and-drop GUIs for programming liquid-handling robots. Here, we showcase a feature-rich toolkit and protocol library in Python for automated NGS protocols on the Hamilton NGS
platform. This NGS protocol library provides a set of highly accessible examples for users to quickly get started writing protocols in Python.
Student & Intern
Duke University & Hamilton Company
Sam Mohler
Talk Title
We Are Our Few Discoveries
Abstract
Lab Automation is close to becoming an industry that can demonstrate‘Artificial Discovery’ at scale. There are a few hurdles that are in the way. Looking back thru history we can see a pattern of solutions used for similar situations in technology. This talk is thesis on what those could be applied to lab automation.
Founder
Lab Automators
Michael Swartz
Chief Strategy Officer
Dotmatics
Talk Title
Multimodal Informatics from Research through Manufacturing
Abstract
Enterprise software for science often fails: projects take too long, cost too much, and deliver little value. Tools like electronic notebooks, once powerful during the shift from paper to digital IP, have not kept pace with advances in science or the data management needed to enable AI in R&D. At Siemens Digital Industries, we are building a new paradigm: combining scientific representation, advanced data management, and novel digital capture to create end-to-end “digital threads.” These threads support granular data structures across therapeutic modalities, making AI truly effective in R&D. Our system provides a common language to describe complex processes from research through manufacturing, reducing tech transfer costs and time. Think of it as a scientifically intelligent “ELN 2.0” enhanced by GenAI.
HANDS ON LABS
Advance your skill set!
Attend an Interactive, Hands-On Lab at Paperless Lab Academy® USA 2025.
Building skills will help you thrive through change. And, as we’ve all witnessed, technology changes from business process management to AI and LLM are coming at us fast and furious. That’s why 20/15 Visioneers has put together four hands-on, interactive labs at The Paperless Lab Academy® USA, October 5-7, 2025.
Seats are limited to 20 registrants/workshop Act now!
Choose from the following topics:
1. Discover Cheminformatics led by Subhas Chakravorty, Ph.D.
The powerful fusion of computational algorithms and chemical expertise transforming modern drug discovery. Learn to digitally encode chemical structures, explore chemical diversity and navigate chemical space, build predictive QSAR and machine learning models, and rapidly analyze bioactivity and ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) properties. Acquire practical skills with Python and RDKit, crucial for drug repurposing, lead optimization, and creating novel molecules with tailored properties. Explore these techniques using datasets derived from current marketed drugs. This structured course takes you from foundational concepts to advanced techniques, providing hands-on expertise essential for pharmaceutical research and molecular innovation.
2. Prompt Engineering for Scientists led by Raminderpal Singh, Ph.D.
Scientists regularly use tools like ChatGPT in work and home. But how do you power-house their use without any software skills? It’s called Prompt Engineering and it’s an art to get right. In this Lab, you'll design the key parameters for a clinical 1 trial for an aging compound! We’ll set you up with best-practice methods, so you won’t be lost. But you will be challenged to build effective prompts. Everything you learn will be reusable back in your workplace (and at home).
3. Business Process Mapping for ELN Optimization led by David Hessler
For thirty years ELN products have been used by research and development labs, and today the still often are not delivering on their promise. Why is this? One answer is that you first need a map of how data is generated, progresses, and is consumed inside and outside your labs. In this workshop, we take a hands-on approach to analysis of the subsystems which produce and analyze data, and we produce easy-to-understand business process mapping which defines the actors, systems, and data which make up the informatics ecosystem. If you want to really leverage the value of an ELN, you need a map which describes the high-quality touch points, and the high risk integrations.
4. Building No-code LLM Workflows for Your Lab led by Raminderpal Singh, Ph.D.
AI adds to automation, and LLMs add to AI. But, without some insider know-how, integrating these tools into experimental workflows can be complex and lead to much technical debt. And when software IT folks are not available, it can be frustrating. In this lab, we’ll get our hands dirty learning about the world of “no-code” LLM tools. This will give you a clear understanding for how they can help you build and run better experiments. We will cover methods to ensure data privacy & security. Coming out of the lab, you will be energized and ready to try out different LLM-based tools in your experiments!
WHERE:
THE FLORIDA HOTEL
1500 Sand Lake Road
Orlando, Florida 32809
Info and Reservations:
Phone Number +1 (407) 859-1500
Conference participants will benefit from special rates by using the link below.
You can also contact the hotel directly and book your room indicating your presence at #PLA2025USA
WHEN:
October 5 - 7, 2025
DISCOUNT:
Discounted hotel booking link here
If the link does not work for you, please call the Florida hotel (+1 (407) 859-1500) and let them know you are booking for the conference.