Applied Face Cognition Lab Logo
Applied Face Cognition Lab Logo

What we do

About the Lab

Our lab is interested in human visual cognition; particularly face processing. Our goal is to better understand the relationship between brain function and behavior. To this end, we use multiple neuroscientific methods to study inter-individual differences at various levels of face processing - from detection to identification. We seek to bridge the gap between empirical research and its application outside the lab in order to address outstanding questions and solve real-world problems.

The lab is funded by the Swiss National Science Foundation and led by Meike Ramon, who was awarded a PRIMA (Promoting Women in Academia) grant to investigate the Mechanisms of Superior Face Recognition. This interdisciplinary project involves a collaborative network between researchers and practitioners from international police agencies to study Super-Recognizers - individuals with exceptional face processing capacities.

Funding Body

Swiss National Science Foundation Logo

Current Host Institute

University of Fribourg Logo

Scientific Advisor To

Berlin Polizei Logo

Who We Are

Meet the Team

Meike Ramon
Lab Leader
Meike Ramon is an Assistant Professor and Swiss National Science Foundation PRIMA (Promoting Women in Academia) Fellow. She founded and leads the Applied Face Cognition Lab at the University of Fribourg. Meike's research focus is in Cognitive Neuroscience and Neuropsychology, and its translation into application and policy. Some other things Meike is involved in: Founding member of the 500 Women Scientists Bern/Fribourg - Advisor in Simply Neuroscience's Action Potential Advising Program - Associate Editor with Swiss Psychology Open, Guest Editor with Neuropsychologia - Local node leader of the Swiss Reproducibility Network. Outside the lab she is working her way towards Pincha Mayurasana.
Jeff Nador
Postdoctoral Research Fellow
Jeff uses pattern analyses of neural and psychophysical data to understand perceptual and conceptual representations of objects and tasks. When he’s not playing hockey or skiing, you’ll probably find him wondering about how tasks modify the neural representations of faces, natural scenes, playing cards, or simple Gabors. In the AFC lab, he’s developing data-driven approaches to capture Super-Recognizers’ uncanny abilities.
Neil Docherty
Software Engineer
Neil began a career in teaching after studying astrophysics at the University of Glasgow. When he moved to Switzerland, he became a software engineer. He builds software at the University of Bern's Institut für Medizinische Lehre as well as custom scientific platforms.
Honorary Fellow
Lavazza spends the majority of his time in quiet, focussed contemplation. We know not what he thinks about - but it's likely to be deeply profound. You can usually find him asleep on a keyboard.

AFC Lab Talk Series

Make Thursdays a little more interesting

We host a virtual talk series on Thursdays at CET.

Our aim: to support early-career researchers and underrepresented groups by providing a platform for their work and increasing networking opportunities.

If you'd like to give a talk, drop us a message and we'll get it organised.

20 Jan 2022
16:00 CET
Commonly used face cognition tests yield low reliability and inconsistent performance: Implications for test design, analysis, and interpretation of individual differences data
Picture of the speaker
Anna Bobak & Alex Jones
University of Stirling & Swansea University


The Applied Face Cognition Lab has a number of ongoing projects with a variety of international researchers and organisations.

Berlin Polizei Logo
Rheinland-Pfalz Polizei Logo
Police Cantonale Fribourg Logo
Stadtpolizei Winterthur Logo
Universität Giessen Logo
University of Aberdeen Logo
York University Logo
MIT Media Lab Logo