AFC Lab Team Members

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 Lausanne. Her research focus is in Cognitive Neuroscience and its translation into application and policy. Other things Meike is involved in: Founding member of the 500 Women Scientists Bern/Fribourg - Local node leader of the Swiss Reproducibility Network - Member of the European Association for Biometrics & Europol Platform for Experts - Expert Panel Member for Innosuisse, the Swiss Federal Innovation Agency. As a Scientific Advisor for the Berlin Police Meike co-developed the Berlin Test for Super-Recognizer Identification (beSure®), a bespoke tool involving authentic police material.

  • 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.

  • Maren Mayer

    Postdoctoral Researcher

    Maren Mayer finished her PhD at the University of Mannheim and the Heidelberg Academy of Sciences and Humanities, where she studied collaborative behavior and group decision making focusing on expert influences. Her research involves experimental examination as well as statistical modelling of collaborative behavior disentangeling various sources of influence on the group judgment. Maren has a bachelors's and a master's degree in psychology obtained at the University of Mannheim and was previously an associated member of the research training group "Statistical Modeling in Psychology". Since 2022 she is postdoctoral researcher at the Leibniz-Institut für Wissensmedien in Tübingen. In the AFC Lab, Maren is working on the question of whether Super-Recognizers can improve perpetrator identification from CCTV footage.

  • Andrea Fröhlich

    PhD student

    Andrea is a forensic phonetician and the group leader of the speech and audio group at the Zurich Forensic Science Institute (FOR). Previously, she worked on automatic speaker and speech recognition at several international institutions and companies (Oxford Wave Research, Spitch AG, Netherlands Forensic Institute, Bielefeld Dialogue Systems Group, University of Bielefeld). Andrea holds a MA from the faculty of computational linguistics at the University of Zürich. While most of her casework focuses on forensic speaker comparison and identification, her research interest lies in human and automatic processing of voices. Alongside her work at FOR, Andrea is pursuing a PhD and is keen on finding out if Super-Recognizers' ability for *facial* identity processing extends to the auditory domain and voices.

  • Jobila Eigenmann

    Research Associate

    Jobila studied psychology at the University of Stirling, where she found her interest in cognition. For her dissertation, she compared two versions of a holistic composite system. Through this, she received the opportunity to complete a research-based internship with the Zurich Cantonal Police, where she assisted in two studies surrounding face recognition. She is currently completing her Masters in Psychology and Neuroscience of Mental Health. From 2023 onwards, Jobila will be responsible for coordinating the lab's remote testing and will prepare a project to determine whether Super-Recogniziers’ superior ability for processing facial identity extends to faces of P.O.C. (people of color).

  • Kim Uittenhove

    Postdoctoral Research Fellow

    Kim is a cognitive science researcher passionate about cognitive aging and working memory. As the coordinator of the SWISS100 study - the first nationwide examination of centenarians in Switzerland - she utilizes her expertise to unravel the complexities of cognitive capacity in this unique population. Moreover, Kim develops innovative methods for studying cognition using high-density data. She has developed a tool for automatic analysis of graphomotor data from neuropsychological tests, and is delving into AI to study neural networks and human cognition. Starting Feb 2023, in the AFC Lab, Kim will develop paradigms to characterize individual differences in cognitive abilities objectively, using FPVS and EEG.

  • Lavazza

    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.

  • Lionel Boudry

    Research Assistant

    Lionel has a Bachelor's degree from the University of Fribourg, where he is currently pursuing a MA in Clinical Neurosciences. He is much interested in the bridge between the clinical aspects of psychology and experimental research. He is currently finishing his research internship project on face recognition and the various factors influencing this process. Since Nov '22 Lionel has been working in the AFC Lab as a Research Assistant and he is responsible for organizing the AFC Lab Talk Series. Besides his studies, Lionel likes Basketball, music and learning new things.

  • 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.