Our Team
The Pollice Research Group is committed to create an inclusive research environment where members feel safe and respected. We believe that diversity is an intrinsic and important part of the academic community and, therefore, we appreciate differences in backgrounds, experiences and perspectives, and facilitate them to help everyone in our team to reach their full potential in both scientific and non-scientific matters.
Our Research
Our research interests rest on four main pillars. Our primary target is the design of molecular catalysts for organic reactions with the help of computers. To realize that, we combine the simulation of chemical reactions with lab automation for high-throughput experiments and artificial molecular design algorithms. This allows us to incorporate data-driven algorithms directly into our workflow enabling us to accelerate the discovery process.
Latest News
March 3, 2025
On March 3, Davi joined the group as a Master student. Davi will work on inverse design of organocatalysts.
February 10, 2025
Fully funded PhD position to work on machine learning-guided directed evolution for oligopeptide catalyst design starting between June 2025 and October 2025.
February 3, 2025
On February 3, Fareeda joined the group as a Master student. Fareeda will work on computational exploration of asymmetric catalysts aided by machine learning.
Social Media
Recent Papers
February 5, 2025
P. F. Jacobs, R. Pollice*
Digit. Discov. 2025, 4, 762.
December 24, 2024
A. Blokhuis*, R. Pollice*
Eur. J. Org. Chem. 2024, e202400949.
September 19, 2024
S. Chen, R. Pollice*
Chem Cat. 2024, 4, 101111.