For attendees, please note that this website is a Discourse Forum focused on all things “Accelerated Discovery”, maintained by the Acceleration Consortium. From August 6-9th, this platform will also be used to allow participants to engage with each other and provide a long-term, persistent format for capturing key takeaways and future plans related to the conference. If you are new to Discourse, you may consider reading through the new user guide. We ask that you enable notifications so we can keep you up-to-date. To filter to only Accelerate 2024 topics, see the accelerate-2024 tag. As mentioned in our welcome post, please add a picture and your name to your profile. If you’re stuck or need help, you may contact sterling.baird@utoronto.ca.
Hello everyone!
My background is in industrial materials, organic, and polymer synthesis. I spent a decade commercializing novel silicone polymers in a VERY manual way, and SDLs would have been very useful. I am looking forward to making at least 3 new friends during Accelerate24.
I’m Sterling Baird. I direct the training programs at the Acceleration Consortium. I’m a classically trained applied physicist and materials scientist and self-taught with AI and automation. I’ve worked on nanomaterial synthesis (CNTs, graphene), lithium-sulfur batteries, grain boundary studies, alloy development, and materials informatics in general. I love what I do and hope it’s useful to the community. It’s been amazing to connect with others during this conference!
Hi My name is Yimu Zhao, staff scientist from Self-Driving Lab 6 Human Organ Mimicry. My training is Biomedical Engineering and I have been working on Organ-on-chip and organoid technologies and Stem Cell technologies for over 10 years now. The benefit of organ-on-a-chip and organoids systems is to replace the essential use of animal in the pharmaceutical industry by providing human high fidelity tissues in a high throughput culture platform. The incoporation of AI and automation would significantly improve the reproducibility of the samples, improve the accessibility of the technologies for research and have the potential to revolutionize the field.
I am very happy to be at Accelerate 24. A lot of existing tools mentioned in the talks can be great assets for developing biological relevant applications for our SDLs. Look toward to build a strong network with other talents here and growth together.
I am Laurent Grosset. I am R&D scientist at TotalEnergies. I am data scientist by training and now coordinating actions to transform the way we develop new materials/molecules/formulations using automation, AI, simulation at various scales.
I’m Jeff, I am a staff scientist in the AC working in the formulations self-driving lab. I work primarily on automation development for complex materials systems, along with some machine learning! We like to work on a lot of different materials systems from personal care and pharmaceuticals to industrial building materials and coatings!
Hi everyone,
I am Antonio, a Senior Researcher at ISM-CNR (Institute of Structure of Matter - ISM of the Italian National Research Council - CNR). I have been working for many years on laser-based material synthesis, surface nanostructuring, thin film depositions, and time-resolved spectroscopies. Recently, we have planned to realize, within one year’s time, the first Italian Materials and Devices Acceleration Platform (MADAM) for shrinking the time to market for the development of energy materials and devices. This will involve synthesizing, depositing, and fully characterizing the individual material layers, as well as evaluating the performance of the final manufactured devices obtained.
The quality of the discussions at this conference has been outstanding. My main goal is to gain a comprehensive understanding of the current state of the art in various aspects of Self-Driving Labs (SDLs). I hope to progressively deepen my knowledge in order to better prepare for the challenges we will face with our next to come IT-MADAM platform.
I aim to learn the terminology, methodologies and techniques discussed here so that we can contribute meaningfully to this vibrant community.
My name is Rógvi, I am a masters student at the Technical University of Denmark (DTU). I am currently working on my masters thesis which involves developing a low-cost autonomous viscometer.
I am looking forward to experiencing the community and explore the field of SDL’s.
Hi Everyone, I’m Owen Melville, and I am a staff scientist with the polymer group (SDL 4) at the Acceleration Consortium. My research background is in organic transistors (PhD) and OLEDs (Startup) with strong elements of implementing automated analysis and data curation systems. My goal for the conference is to learn more about how other people are thinking about (or executing) tool development (hardware) and experimental planning & execution (flexible orchestration) within the context of automated research.
Hi everyone, i am Frantz Le Devedec, Senior Staff Scientist at the Acceleration Consortium working in the formulation SDL. Biochemist background, physical chemist by training, i have more than 7 years experience in the pharmaceutical, neutraceutical and personal care industry. I am very excited to have joined the AC team to bring and apply my knowledge to the formulation SDL lab to develop cool and relevant workflows ! Looking forward to connecting and collaborating on challenging formulation development !
Hi all, I am Han Hao, Staff Scientist at the Acceleration Consortium Organic SDL (SDL2). Trained as organic and organometallic chemist, I embraced chemistry automation and AI for materials with the target of freeing my hands from daily wet lab in fumehood. I really enjoy being part of the accelerated discovery community, in my daily work and in the AC24 conference. It’s an fantastic opportunity to meet with everyone in the field.
Hi everyone,
I am Kourosh Darvish, a staff scientist in the AI & Automation lab at Acceleration Consortium. I work on robot learning, decision-making, and computer vision. I apply robotics systems and algorithms for scientific discovery and lab automation. Looking forward to connecting and collaborating on challenging and impactful robotics problems for lab automation.
Hi everyone! I’m Carla Brown, a staff scientist in the Medicinal Chemistry SDL at the Acceleration Consortium! My background is primarily in synthetic organic chemistry and drug discovery. My goal for Accelerate 24 is to start building new collaborations with other people working in the small molecule space!
Hi everyone! I am Nipun, a staff research scientist with the Acceleration Consortium. Our team focuses on polymer research, and my domain of interest is electrochemistry, continuous flow synthesis and materials recycling. I am interested in developing electrochemical plastic upcycling and utilising continuous flow methods for polymer synthesis and upcycling. I am excited to be at Accelerate 2024 and looking forward to potential collaborations with like-minded scientists!
Louie here. I am a masters student at the Technical University of Denmark (DTU). I am finishing my MSc thesis focused on developing and creating a low-cost, in-line module for adding solids to a liquid handling system(fancy way of saying i am dispensing and weighing solds).
Accelerate 2024 was my very first conference, glad to soak up all the grat knowledge from all the specialists as well as the generalists.
Hi everyone! My name is Daniel and I’m a staff mechatronics engineer with the Berlinguette Research Group at the University of British Columbia. It was a pleasure hosting the various tour groups at our lab last week. I’m looking forward to continuing the conversations sparked by the conference!
Hi All,
I’m Matt and I’m a technician here in the Hein lab at UBC. My biggest interest is in electronics and low cost manufacturing for automation. It was great to meet people at Accelerate and now that I have a little bit of time I’m hoping to be more active and connect on here!
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