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Accelerated Discovery Community Discourse
A place to discuss, brainstorm, and get help on topics related to self-driving labs (i.e., AI and automation for accelerating materials discovery).
Introduce yourself by adding your picture and information about yourself and your interests to your profile.
Hey I am Dr. Conrad G. Tetsassi Feugmo,
an Assistant Professor in the Chemistry Department at the University of Waterloo, is a leading figure in global energy research. He employs computational models, advanced theories, and AI to drive innovative materials design.
My expertise in nanoscale simulations enables the modeling and understanding of materials’ fundamental properties at the atomic level, such as ionic conductivity, stability, and material interactions, which are essential for solid electrolytes.
I am also working on AI-Orchestarted Software for to rapidly discover high entropy alloys for batteries and hydrogen technologies
Hi all,
I am Alexander (Alex) Godfrey and I am currently working as a hired consultant for the National Center for Translational Sciences (NCATS) at the NIH. I am currently serving as the scientific lead for the ASPIRE project that aims to improve and accelerate the research driving the discovery of novel human therapies. You can learn more about ASPIRE here: A Specialized Platform for Innovative Research Exploration (ASPIRE) | National Center for Advancing Translational Sciences
I am a synthetic organic chemist by training but consider myself a chemistry technologist by trade given my extensive experience and passion for integrating new technologies into the science of synthesizing molecules. I was the lead architect for the Eli Lilly’s first fully integrated automated synthesis lab and lead the operations for the facility for almost 10 years before moving on to other opportunities to continue the evangelize the value of technologically advanced and highly integrated laboratory design.
Looking forward to interacting with this group!
cheers,
Alex
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.
Aside: quite a few introduction posts were made recently within the Accelerate 2024 welcome post:
Hi all,
I’m Sissi Feng, currently working as a Lab Technician with a focus on assisting in training program and the development of scientific hardware and software.
My background includes research where I developed deep learning algorithms to classify cancer risk in high-risk populations and to predict deformation and hyperelastic properties of breast tissue, with the goal of assessing long-term breast cancer risk. Additionally, I worked on designing wearables that aim to achieve internal stress uniformity, contributing to cancer prevention efforts.
With my background in chip design, medical image processing, biomechanics, and machine learning, I’m particularly interested in two areas:
Looking forward to learning and collaborating with this group!
Cheers,
Sissi
Hi All,
I am Edison Lin, currently a third-year computer science student. I have recently joined the training lab team and will be working as a Lab Technician. I have a strong background in programming, with knowledge in languages such as Java, C, Python, Web Programming and much more. I have hands-on experience with web and mobile development, enjoy solving complex problems, and love working on projects that bring together creative and technical elements.
I look forward to working with you all!
Sincerely,
Edison
Hi everyone,
My name is Evelyn Nesher, and I am a third-year student studying Math and Computer Science. I’m thrilled to have recently joined the Acceleration Consortium team as a Lab Technician.
I have a solid background in mathematics and programming. Specifically, I have experience in the languages; Java, Python, C, and Linux. I also have some cybersecurity experience and am eager to expand my knowledge in SDLs and robotics.
Looking forward to working together!
Best,
Evelyn
Hey everyone,
My name is Gursimar Singh and I am a third-year at UofT studying Math and Computer Science. I will be joining the Training Lab at the Acceleration Consortium as a Lab Technician
My experience is primarily in Machine Learning and Deep Learning, particularly in Computer Vision. I am also experienced in programming primarily in the following languages; Python, C/C++, Java, SQL, Rust.
Looking forward to working on SDLs and other cool projects at the AC!
Best,
Gursimar
Hi everyone,
My name is Luthira Abeykoon, and I’m a 2nd-year electrical and computer engineering student. I’m excited to be joining the Acceleration Consortium as a Lab Technician. My current interests lie at the intersection of software engineering and signal processing. I have experience in Python, C/C++, and have also dabbled in web development. I look forward to using this skill set to create high-impact projects in the future.
Looking forward to meeting everyone!
Regards,
Luthira Abeykoon
Hello everyone,
My name is Yanghuang Liu, and I hold an MEng degree in Mechanical Engineering from UofT. My primary research experience involves applying the Finite Element Method (FEM) and Computational Fluid Dynamics (CFD) to estimate acoustic properties and aerodynamic performance of acoustic meta-materials. I also have hands-on experience setting up testing facilities, from designing equipments to developing data processing programs. I am excited to join the Acceleration Consortium as a Lab Technician and look forward to contributing my diverse experience and skills.
I’m looking forward to working with all of you.
Cheers,
Yanghuang
Hi! I’m Jonathan Woo, fourth year Engineering Science student at the University of Toronto majoring in machine intelligence.
I’m joining the Acceleration Consortium as a Lab Technician in the Training Lab where I’ll be bringing/scaling up tools for self-driving labs.
My background is in machine learning and software development both in academic research and industry settings. Looking forwards to meeting all of you!
Hi Everyone!
My name is Rubaina and I am a Masters student in Biomedical Engineering at the University of Toronto.
I was a AC summer student, working in SDL 3, where I built a chemical inventory database compatible with automation using SQLite and Python. I am now coming back as a UofT work-study student, as a lab technician!