Conference Schedule

Speakers:

• Gail Murphy | Professor and Vice-President Research & Innovation, University of British Columbia
• Mark MacLachlan | Dean pro tem, Faculty of Science, University of British Columbia
• Alán Aspuru-Guzik | Director, Acceleration Consortium

Speaker:

• Sergei Kalinin, University of Tennessee Knoxville

Speaker:

• Seiji Takeda, IBM Research

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Moderator:

• Padraic Foley

Speakers:

• Benji Maruyama | Democratization of science
• Xi Zhu | From autonomous laboratories to autonomous research
• Kevin Rossi | DAEMON COST: a pan-European network for materials acceleration
• Marty Burke | Imagine a world where everyone can make molecules
• Sawako Nakamae | COST Action EU-MACE: European Materials Acceleration Center for Energy
• Michael Williams | Good strategy and diverse partnerships – Keys for developing new chemical exploration tools

Moderator:

• Neeraj Kumar

Speakers:

• Michael Webb | Active learning strategies for chemical and materials classification and design
• Peter Frazier | Grey-box Bayesian optimization for materials discovery
• Qian Yang | Practical automation of experiments requires rethinking machine learning for small data
• Kevin Shen | AI-driven exploration of high dimensional mixtures
• Pascal Friederich | Dynamic multi-fidelity decision-making based on extended Bayesian optimization
• Rebecca Davis | Explainable AI enables molecular design
• Philipp Harbach | The Bayesian back end: an approach to industrial software development
• Kim Jelfs | Fusing computation and automation: a computational chemist's viewpoint

Moderator:

• Ilya Yakavets

Speakers:

• Melodie Christensen | Algorithmic process optimization in pharmaceutical development
• Adam Gormley | Automation and active learning for the autonomous design of drug formulations
• Julie Audet | High-dimensional design of experiment algorithms for the discovery of cell culture medium formulations by self-driving labs
• Rick Lu | Advancing cell-based therapies with AI: a self-driving lab's role in LNP discovery and optimization

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Moderator:

• Ilya Yakavets

Speakers:

• Carlos Guerrero-Sanchez | Automation of purification techniques for polymer libraries
• Scott McIndoe | Accessible automation for accelerating kinetic analysis
• Rama El-khawaldeh | Diverse scales, unified vision: computer vision in process chemistry  
• Jiaru Bai | twa: A dynamic knowledge graph Python package for interoperable chemistry
• Marie-Chloé Michaud Paradis | High-throughput analytical and AI tools to improve the investigative process of battery materials property prediction from composition for process analysis, discovery and beyond  
• Gaston Corthey | Pipettin Bot: a low-cost, fully open-hardware platform for laboratory automation

Moderator:

• Sean Wagner

Speakers:

• Yiming Mo | Accelerated development of synthetic electrochemistry enabled by artificial intelligence and automation    
• Ekaterina Trushina | From discovery to life: challenges of automated scale up  
• Beatrice Soh | Studying polymer dynamics using a data-driven approach  
• Ivory Wenyu  Zhang | Democratizing self-driving labs with intuitive human robot interaction

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Moderator:

• Andrew Johnston

Speakers:

• Aaike van Vugt | Unlocking the biggest material space of inorganic nanoporous thin-films for clean energy technologies
• Muhammed Shuaibi & Jehad Abed | Towards AI accelerated catalyst discovery: bridging the gap between theory and experiments
• Arash Khajeh | Accelerating discovery of solid polymer electrolytes using molecular dynamics simulations and generative AI
• Ryan Jansonius | Reaction automation techniques from the pharmaceutical industry enable manufacturing high purity battery material

Moderator:

• Ilya Yakavets

Speakers:

• Stacy Copp | A closed-loop approach to ML-guided design of fluorescent DNA-stabilized silver nanoclusters
• Joseph Brown | Label-free Quantitation to Expand Data Generation for Ligand Discovery
• Molly Gibson | Pioneering Generative AI across physical and life sciences