Cecilia Clementi
Cecilia Clementi studies computational biophysics and machine-learning models for biomolecules. She moved from Rice to Freie Universität Berlin in June 2020, following an Einstein Visiting Fellowship that began in 2017. She coauthored a 2019 preprint, published as a 2020 review, on machine learning for molecular simulation. Her group develops machine-learned coarse-grained models, which simplify molecular detail while aiming to retain useful physical behavior. The group seeks to connect reliable experimental measurements with detailed simulations and reach biologically relevant timescales.
- Now at
- Freie Universität Berlin
- Works
- 172
- Citations
- 10,853
- h-index
- 55
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
2017
Research links with Berlin
When Freie Universität appointed her in June 2020, Clementi had researched there as an Einstein Visiting Fellow since 2017. She worked with collaborative research centres concerned with membranes and complex systems.
-
2019–2020
Machine learning for molecular simulation
Clementi coauthored a 2019 preprint reviewing machine-learning methods for molecular simulation with Frank Noé, Alexandre Tkatchenko and Klaus-Robert Müller. The review appeared in a journal in 2020. The review covers energies, forces, coarse-grained dynamics and generative sampling.
-
June 2020
Move from Rice to Berlin
Clementi began research and teaching in Berlin in June 2020 after moving from Rice. She previously held a professorship in chemistry and biomolecular engineering and conducted research in theoretical biological physics.
-
As of October 2026
Coarse-grained models of biomolecules
Her group develops a machine-learned coarse-grained model. The aim is to reach biologically useful timescales while retaining physical accuracy and incorporating experimental data.
Sources and credits
Photo: ELLIS profile; creator not stated. License: Not stated by source. Source: ellis.eu. Cropped to a square and resized. Ask us to remove or replace this photo.