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.
The Center is building up a curated resource library of videos and publications that members find useful:
- Andrew Ng’s online lectures on machine learning have often been described as a “Rite of Passage” for many interested in this topic.