BioFolD - People

Biomolecules Folding and Disease

People

The BioFolD unit at the University of Bologna is composed by:

	Marco Anteghini Research Fellow Department of Pharmacy and Biotechnology (FaBiT).
	Emidio Capriotti Associate Professor Department of Pharmacy and Biotechnology (FaBiT).
	Carlos Arturo Enriquez Sandoval PhD Student in Data Science anc Computation Department of Pharmacy and Biotechnology (FaBiT).
	Chiara Rivi PhD Student in Data Science anc Computation. Department of Pharmacy and Biotechnology (FaBiT).
	Andrea Zauli Research Fellow Department of Pharmacy and Biotechnology (FaBiT).

Alumni

The last members of the BioFolD unit at the UAB and UNIBO (show all)

	Lorenzo Lo Cascio Feb. 2024: Master in Bioinformatics. University of Bologna. Development of machine learning methods for predicting the impact of protein mutants ...:
	Andrea Cicconardi Research Assistant, Department of Pharmacy and Biotechnology (FaBiT). Predicting the impact of mutations on protein stability.
	Cecilia Foglini Sep. 2022: Master in Bioinformatics. University of Bologna. Predicting the effect of mutations on protein-protein interactions.
	Tommaso Mosca Feb. 2022: Master in Bioinformatics. University of Bologna. Impact of protein modeling on the prediction of protein stability change upon mutation.
	Riccardo Ottalevi Feb. 2022: Master in Bioinformatics. University of Bologna. Predicting the effect of mutation in protein-protein interactions.

Visiting

The following researchers visited the BioFolD unit at the University of Bologna:

04/2025 - 04/2025	German Rosano Adjunct Researcher, CONICET, Argentina.
10/2024 - 10/2024	Xavier De La Cruz Professor, Vall d'Hebron Institute of Research, Spain.
02/2018 - 04/2018	Jaume Sastre Tomas PhD Student, University of Balearic Islands, Spain.
01/2017 - 02/2017	Marcia Anahi Hasenahuer PhD Student, National University of Quilmes, Argentina.

Emidio Capriotti is actively promoting training in Computational Biology and Bioinformatics at the University of Bologna. Students with research interests in Computational Biology and Bioinformatics please contact Emidio Capriotti.

	Lorenzo Lo Cascio Feb. 2024: Master in Bioinformatics. University of Bologna. Development of machine learning methods for predicting the impact of protein mutants ...:
	Andrea Cicconardi Research Assistant, Department of Pharmacy and Biotechnology (FaBiT). Predicting the impact of mutations on protein stability.
	Cecilia Foglini Sep. 2022: Master in Bioinformatics. University of Bologna. Predicting the effect of mutations on protein-protein interactions.:
	Tommaso Mosca Feb. 2022: Master in Bioinformatics. University of Bologna. Impact of protein modeling on the prediction of protein stability change upon mutation.
	Riccardo Ottalevi Feb. 2022: Master in Bioinformatics. University of Bologna. Predicting the effect of mutation in protein-protein interactions.
	Anna Benedetti Internship Aug 2021: Degree in Genomics. University of Bologna. Characterization of pharmacogenomic variants in cytochromes.
	Lucrezia Valeriani Jul. 2020: Degree in Genomics. University of Bologna. Predicting the functional impact of single nucleotide variants in rare disease associated genes.
	Alessandro Vinceti Sep. 2019: Master in Bioinformatics. University of Bologna. Analysis and characterization of germline and somatic variants in cancer genome.
	Emina Merdan Sep. 2018: Master in Bioinformatics. University of Bologna. Characterizing the impact of mutations at functional and network levels in Lung Adenocarcinoma.
	Oronzo Tassiello Mar. 2018: Master in Bioinformatics. University of Bologna. Computational methods for scoring genomes of Lung Adenocarcinoma.
	Luigi Chiricosta Sep. 2017: Master in Bioinformatics. University of Bologna. Detecting cancer causing genes and variants in Colon Adenocarcinoma.
	Rui Tian Postdoc, Department of Pathology at the University of Alabama at Birmingham. Computational methdos for the analysis and interpretation of the cancer genome.
	Shivani Viradia MS Student, Biotechnology Program at the University of Alabama at Birmingham. Analysys of the impact of mutations on protein stability.