Stephane Hare, PhD
Atomwise
Transitioning from academia to industry: How the Merck research award guided me to my dream job
DIVISIONWomen Chemists Committee
Date, time
Wednesday, August 24, 2022 from 8:55 AM - 9:25 AM
Aryan Pedawi, PhD
Atomwise
Towards computationally efficient graph generative models for molecular search
DIVISIONComputers in Chemistry
Date, Time
Wednesday, August 24, 2022, 11:15 AM - 11:45 AM
Saulo de Oliveira, PhD
Atomwise
Allosteric hit discovery for phosphatases with AtomNet® virtual screens
DIVISIONComputers in Chemistry
Date, time
Wednesday, August 24, 2022, 3:45 PM - 4:15 PM
Join our team
Our team is comprised of over 80 PhD scientists who contribute to a high-performance academic-like culture that fosters robust scientific and technical excellence. We strongly believe that data wins over opinions, and aim for as little dogma as possible in our decision making. Learn more about our team and opportunities at Atomwise.
About our technology
AtomNet® technology was the first application of artificial intelligence/machine learning to molecular recognition. Our award-winning AtomNet® technology has been used to find small molecule hits for more undruggable targets than any other AI drug discovery platform.
