Cecilia Clementi is an Italian-American scientist who specialises in the
simulation of biomolecules. She is a Professor of Theoretical and
Computational Biophysics at the Free University of Berlin.
She was previously a Professor of Chemistry at the Rice University
and co-director of the National Science Foundation Molecular Sciences
Software Institute. From 2017 to 2019, she held an
Einstein Foundation fellowship.
In 2020 she was appointed Einstein Professor of Physics at Freie Universität Berlin.
She is also a scuba divemaster and underwater photographer.
Some of her photographs are shown in her Instagram page
Group Secretary
Email:
s.hartmann-rolke@fu-berlin.de
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Dr. Raquel López-Ríos de Castro
Postdoc
About: Raquel is a Marie Skłodowska-Curie Postdoctoral Fellow. Her research focuses on developing computational and machine learning methods to enhance protein structure modeling and accelerate the discovery of new therapeutics.
Email:
raquel.lopez-rios.de.castro@fu-berlin.de
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About: Lorenzo is a Marie Skłodowska-Curie Postdoctoral Fellow. His research focuses on the interpretability of Graph Neural Networks used for Machine Learning Potentials, through the lens of graph theory and statistical mechanics.
Email:
lorenzo.giambagli@fu-berlin.de
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https://lorenzogiambagli.com/
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About: Jorge (he/him) is a postdoctoral scholar supported by the Einstein Stiftung Berlin to develop efficient methods for modeling quantum effects during charge transport in liquid electrolytes. He is also interested in building AI-boosted tools to enable kinetically-consistent coarse-graining of molecular systems and to extract free-energy landscapes from nonequilibrium molecular data.
Email:
j.rosa-raices@fu-berlin.de
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PhD Candidate
About: Filippo is a Marie Skłodowska-Curie Doctoral Candidate as part of the doctoral network
`ELEGANCE' (https://elegance.dtu.dk/). He works on Machine Learning Force Fields for enzymes.
Email:
albani@physik.fu-berlin.de
PhD Candidate
About: Klara is a PhD Candidate of the FAIME project funded by the German Federal Ministry for Education and Research.
Her research is focussed on building machine learned coarse grained force fields for proteins and interpreting them using explainable AI tools.
Email:
klara.bonneau@fu-berlin.de
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PhD Candidate
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Aldo is a IMPRS-BAC PhD candidate. His research is centered around enhancing machine-learned coarse-grained models for biomolecules. Outside of work he enjoys music and tea.
Email:
aldo.sayeg.pasos.trejo@fu-berlin.de
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https://sayeg84.github.io/
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Ana Cristina Molina Taborda
PhD Candidate
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Ana is a PhD candidate at Freie Universität Berlin. Her research is focused in developing machine-learned coarse-graining models for large proteins.
Email:
ana.molina.taborda@fu-berlin.de
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PhD Candidate
About: Ella is a Freie Universität Berlin PhD candidate.
She works on the development and application of machine learning methodologies for complex molecular systems.
Email:
ellav73@zedat.fu-berlin.de
PhD Candidate
About: Jayashree, from India, is a Marie Skłodowska-Curie Doctoral Candidate as part of the doctoral network
Track the Twin. She works on building Machine Learning Force Fields for Quantum Dots.
Email:
jayashree.narayan@fu-berlin.de
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https://jayashreenarayan.github.io/
PhD Candidate
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Email:
finn.tillinger@fu-berlin.de
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PhD Candidate
About: Hannes is a HEIBRiDS PhD candidate. His research focuses on developing automated, AI-assisted approaches to map molecular complexes in human cells in cryo-ET images.
Email:
hannes.drobek@mdc-berlin.de
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https://hannesdro.github.io/
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Master's thesis student
About: Anne is a Master's student currently studying the application of a machine-learned, transferable coarse-grained model to TCR-pMHC complexes.
Email:
annem00@physik.fu-berlin.de
Visiting PhD Candidate
About: Mariastella is a visiting student from Scuola Normale Superiore (Pisa),
where she works under the supervision of Prof. Francesco Raimondi and Prof. Benedetta Mennucci.
In her project, she tries to combine elements of Computational Chemistry and Structural Bioinformatics to model and design magneto-sensitive flavoproteins.
Email:
mariastella.cascone@sns.it
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Current Position: Senior Applied Scientist, Microsoft Research
PhD Candidate and Postdoc
Current Position: Senior Machine Learning Scientist, Genentech
Postdoc
Current Position: Cusp AI
Postdoc
Postdoc
Current Position: BAM Federal Institute for Materials Research