Working on #SelfDrivingLabs at the Acceleration Consortium @ UofT. Former employee at dsm-firmenich working on self-driving labs for food applications. Interested in systems biology, microbial communities, ML/AI, software development, product management.

Professor of Chemistry and Computer Science University of Toronto Faculty member, Vector Institute Director, Acceleration Consortium Senior Director of Quantum Chemistry NVIDIA My views expressed here are personal and are not those of my employers.

Self-driving labs & materials chemistry | Assistant Professor at NC State Group: @ddomlab.org ddomlab.org

Mostly science related. Occasional gardening to be feared.

Seifrid research group in MSE at NC State ddomlab.org

Artificial Intelligence for Materials Science (AiMat) group at Karlsruhe Institute of Technology (KIT), Germany

applying math, computation, and machine learning to problems in chemical engineering | associate professor, Oregon State University | views mine https://simonensemble.github.io/

autonomous science & digital molecular designer | assistant professor @cmu with @gpggrp.bsky.social | https://gpggrp.com | https://aithera.ai | h(e/im), views my own

PhD student at @UofT with Alan Aspuru-Guzik #matterlab | Comp. Chem. + ML for Catalytic and Energy Materials | 🇸🇬

Group Leader - AI and data infrastructure for science at UChicago/Argonne/Globus - UofIllinois alum. materials, chemistry, physics. Opinions are my own.🤖🔬

Assistant Professor at EPFL, ML/AI-accelerated Chemistry & Synthesis | Educating the next generation of chemists and leading a fantastic team (https://schwallergroup.github.io) | Previously IBM Research / Uni Bern / Uni Cambridge / EPFL | he/his

Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io

Machine Learning, {Org, Med, Comp} Chem, RL/Planning, AI-assisted Scientific Discovery & Creativity, Music. ELLIS Scholar. Team Lead at Microsoft Research AI for Science. 2xDad

I like using machine learning to solve problems in physics, from discovering physical laws from observational microscopy data, designing and making better materials, and moving atoms by electron beams. Currently my group build automated microscopes.

Acceleration Consortium

Head of Sci/cofounder at futurehouse.org. Prof of chem eng at UofR (on sabbatical). Automating science with AI and robots in biology. Corvid enthusiast