Sylwia Hyniewska is an interdisciplinary researcher with a specialisation in emotions.

In 2022 at F. Hoffmann-La Roche Sylwia applied Risk Management (ISO 14971) and usability (IEC 62366) standards to medical devices and combination products. She investigated fear and pain in needle-procedures in pediatric populations and contributed to the large MS Floodlight project on the gamification of symptom tracking. 2021-2022 Sylwia worked at Apple Zurich on facial expression data collection projects for the Apple Vision Pro (mixed reality) 2019-2021 Sylwia was associate Lecturer at the University College London (UCL) where she moderated courses and lectured Social Psychology.

2017-2018 She was a Researcher at the Bioimaging Research Center, World Hearing Center, Warsaw. Previously, as a postdoctoral researcher at the University of Bath, she worked on the modification of emotion perception (Department of Psychology) and on behaviour change (Department of Computer Science).

In 2013-2014, she was a Postdoctoral Fellow at the SATO Psycho-Neuro Science Laboratory. There, she worked with Wataru Sato on how observers' facial expressions influence judgments of others' states. The methodology that Sylwia developed is now being applied to clinical populations, particularly to study emotion perception in children with Autism Spectrum Disorder (ASD) and Schizophrenia.

Sylwia obtained her Ph.D degree in March 2013 from University of Geneva (Graduate School of the Swiss Center for Affective Sciences) and the ParisTech Institute of Science and Technology (EDITE de Paris).

From 2008 to 2013, Sylwia worked on emotional behaviours applied to the Affective Computing domain in the GRETA Team, with prof. Catherine Pelachaud.

Sylwia's background is in Affective and Clinical Psychology. In 2008, she submitted her Master's thesis on the recognition of facial expressions of emotions, and in 2006, a thesis on Emotional learning of subliminally presented facial expressions.