Malgorzata Biczysko


Malgorzata Biczysko was born at 22/03/1970 in Wroclaw, Poland. She obtained her Master degree in Chemistry in 1994 and PhD in Theoretical Chemistry in 2000 from the University of Wroclaw. She has been an EU Marie Curie Networks post-doc at the Universities of Bologna, Helsinki and Coimbra (2000-2006) and a post-doctoral researcher in the group lead by Prof. Vincenzo Barone at University “Federico II” of Naples and Scuola Normale Superiore in Pisa (2006-2014). In 2014 she obtained the Italian National Scientific Qualification as associate professor in Physical Chemistry, and worked as a Reasercher at Italian Research Council, ICCOM-CNR-UoS Pisa (2014-2015). Since 2015 she joined the ICQMS at Shanghai University as an Associate Professor. MB is co-author of about 90 papers in ISI journals and 6 book chapters with a Hirsch Index of 28 and an Editor of Journal of Molecular Structures (Elsevier).

Research Interests: MB works on the development of computational protocols for molecular spectroscopy. Her research experience is mainly related to the validation of approaches to simulate vibrational and vibronic spectra and their applications for molecular systems ranging from small molecules in the gas phase to weakly bound molecular systems in complex environments and condensed phases. She is particularly interested in the impact of nuclear motion on the spectroscopic observables and of several subtle interactions as the non-adiabatic and/or anharmonic couplings, environmental (nano-systems, solvent, clusters, metal surfaces, etc.) effects on the overall spectroscopic phenomena. MB is a member of CMST COST Action CM1405 Molecules in motion (MOLIM).

Spectroscopy studies allow investigations of molecular system properties in deep detail, but they do not give direct access to molecular structure and dynamics and the interpretation of the rich indirect information that can be inferred from the analysis of the experimental spectra is seldom straightforward even for simple molecules in the gas phase. Moreover, spectroscopic properties typically depend on the subtle interplay of several different effects, whose specific roles are not easy to separate and evaluate. Such complications are even more pronounced for complex molecular systems of biological or technological interest. Computational spectroscopy represents a fundamental tool for the assignment and interpretation of experimental spectra, bridging the gap between sophisticated experimental techniques and often over-simplified analysis characterised by low precision and high risk of biased interpretation.