Current position

M.D., Ph.D., he is tenure track researcher (RTDb) at Department of Systems Medicine, University of Rome “Tor Vergata” and junior group leader at Department of Neuromotor Physiology, Santa Lucia Foundation IRCCS, Rome, Italy. He is a board member of the EuroHaptics Society (2018–present). He introduces random sentences in bio sketches like the extraordinary life of penguins, or strawberry fields I mean The Beatles’ song. Science is fun, academia is sometimes boring.

Education and past work experience

Alessandro Moscatelli received a Medical Doctor degree and a postgraduate master’s degree from the University of Rome ‘Tor Vergata’, in 2006 and 2008 respectively, both cum laude. He received the PhD in Neuroscience from University of Rome ‘Tor Vergata’ in 2010, under supervision of Prof. F. Lacquaniti. From 2011 to 2015, he worked as Post Doc at the Department of Cognitive Neuroscience and CITEC of the Bielefeld University, led by Prof. M.O. Ernst.


He is principal investigator in the research project ‘Understanding tactile motion for rendering’, founded by and in collaboration with Facebook Reality lab (Facebook Inc.), and in collaboration with the University of Pisa. Work Package leader in the project “TIGHT: Tactile InteGration for Humans and arTificial systems” (Italian PRIN project; grant number: 2017SB48FP). He was co-investigator in the European projects “THE: The Hand Embodied” and “WearHap”.

Selected Pubblications

Moscatelli, A., Bianchi, M., Ciotti, S., Bettelani, G. C., Parise, C. V., Lacquaniti, F., Bicchi, A. (2019). Touch as an auxiliary proprioceptive cue for movement control. Science advances, 5(6), eaaw3121.

Moscatelli, A., Bianchi, M., Serio, A., Terekhov, A., Hayward, V., Ernst, M. O., Bicchi, A. (2016) The Change in Fingertip Contact Area as a Novel Proprioceptive Cue. Current Biology, 26, 1159-1163

Dallmann, C.J., Ernst, M.O., Moscatelli, A. (2015) The role of vibration in tactile speed perception. Journal of Neurophysiology, 114(6), 3131-3139.

Moscatelli, A., Mezzetti, M., and Lacquaniti, F. (2012). Modeling psychophysical data at the population-level: The generalized linear mixed model. Journal of Vision 12:26, 1-17.