Dr Arianna Fornili

Profile

Dr Arianna Fornili is Reader in Computational Chemistry and former Intermediate Basic Science Research Fellow of the British Heart Foundation. She joined QMUL after holding postdoctoral research associate positions at the Randall Division of Cell and Molecular Biophysics (King’s College London) and the DIBIT San Raffaele Scientific Institute in Milan. Her research group (https://afornililab.wordpress.com/) focuses on the computational modelling of protein dynamics to understand protein function, elucidate the molecular basis of disease and develop small molecules with therapeutic applications.

Undergraduate Teaching

• Essential Skills for Chemists (Tutorials) (CHE100)
• Essential Skills for Chemists II (CHE210)

Past modules:

• Pharmaceutical Chemistry (CHE206A) 
• Pharmaceutical Chemistry (CHE206B)
• Introductory Programming for Chemists (CHE209)
• Chemistry Research Project (CHE600)
• Chemistry Investigative Project (CHE601)
• Chemistry MSci Research Project (CHE700)

Postgraduate Teaching

• Introductory programming for drug discovery (CHE709P)
• Computational ligand-based drug discovery (CHE703P)
• Data-driven drug discovery (CHE704P)

Director of the Artificial Intelligence for Drug Discovery MSc

Research

Research Interests:

See Arianna Fornili’s research profile pages including details of research interests, publications, and live grants.

Supervision

PhD supervision

• Wei Dai
• Stylianos Iliadis
• Keron Kinara-Williams (collaboration with WHRI)
• Ka Fu Man
• Zhunan Sun (collaboration with SBBS)
• Yu-Yuan Yang (collaboration with SBBS)