Modern experimental and computational methods, such as high throughput experimentation or data mining, can rapidly generate large datasets. However, most organic chemists are not well trained to quantitatively analyze such large datasets. C-CAS provides training for a new generation of “data chemists” looking for a career applying computational and data science to synthesis. Through co-mentoring and workshops for center participants, C-CAS bridges the gap between chemistry and data science in both academia and industry.

Training Resources

The Center is building up a curated resource library of videos and publications that members find useful: