I am a Ph.D. student at Goethe University Frankfurt under the supervision of Professor Gemma Roig. Both my Bachelor's and Master's degrees were completed at Goethe University, specializing in Computer Science. I am part of the ARENA project, which focuses on studying the development of abstract representations in multimodal models. To achieve my research objectives, I collaborate with psychology and cognitive neuroscience researchers. Furthermore, I am interested in multimodal self-supervised and zero-shot learning techniques, as well as the creation of efficient systems and  mechanistic interpretability.

I am a PhD student at Goethe University Frankfurt, co-supervised by Prof. Gemma Roig and Prof. Visvanathan Ramesh. I did my Bachelor's and Masters in Computer Science at Istanbul Technical University (ITU), Turkey. During my Bachelor's and Master's, I worked on face biometrics and anomaly detection. My current work focuses on explainable and transparent AI systems for education. I am also interested in representation and metric learning.

I’m a Ph.D. student working on the intersection of simulations and deep learning at the Frankfurt Institute for Advanced Studies supervised by Dr. Roberto Covino and Prof. Gemma Roig. I am a recipient of a doctoral scholarship from the Polytechnische Gesellschaft. I am currently researching making molecular dynamics simulations faster and more steerable using deep-learning generative models. I also develop deep learning methods for the visual arts as a hobby.

I am a PhD student at the lab of Prof. Dr. Gemma Roig, focusing on exploring the connection between the human brain and its cortical functions through the lens of deep neural networks. My primary research aim is to understand why specific deep neural networks can predict processes in the human brain despite their biological implausibility, delving into the realms of interpretable AI and neuroscience.
I am also one of the developers of the toolbox Net2Brain, which is a valuable tool for exploring the relationship between artificial neural networks and brain activity.

I am a PhD student at Goethe University Frankfurt working with Prof. Gemma Roig and Prof. Yee Lee Shing as part of the LEECHI project. My research lies at the intersection of developmental psychology and machine learning, with a focus on bridging traditional survey-based assessment methods and modern computational approaches. I aim to develop multimodal learning techniques that can support a more naturalistic and scalable analysis of children's interactions with their environments. My broader interests include zero-shot learning and the efficient characterization of large, unstructured behavioral datasets.

I am a PhD candidate at the University of Amsterdam (VISLab, Informatics Institute) supervised by Iris Groen and Cees Snoek, as well as Gemma Roig at Goethe University through the European AI Laboratory ELLIS. I hold an Integrated Masters degree (BSc & MSc) in Electrical and Computer Engineering from the National Technical University of Athens. My research focuses on the representational alignment between deep video-AI and the human brain and behaviour. Through assessing the extent of alignment in current state-of-the-art models and researching methods to explicitly increase alignment, I aim to work towards the goal of enhancing the models’ robustness and generalisability.

I am a PhD student at the Indian Institute of Technology, Bombay, supervised by Prof. Biplab Banerjee, Prof. Subhasis Chaudhuri and Prof. Gemma Roig. I did my Master's from the Indian Institute of Technology Patna, while my Bachelor's from Maulana Abul Kalam Azad University of Technology. Previously, I interned at the Indian Institute of Science, Bengaluru and Tata Consultancy Services-Research and Innovation Labs during my Bachelor's and Master's, respectively. My current research domain is Continual Learning in Computer Vision.

I pursued a PhD at the Goethe University Frankfurt advised by Prof. Gemma Roig. I am a great admirer of the field of machine learning for natural language processing. Before starting my PhD, I was a data analyst at PwC Germany, where I participated in establishing a collaboration with the Fraunhofer Institute IAIS and conducted research work for my master thesis on question answering with neural networks. Currently, I am analyzing the potential of low-resource languages and their historical literature on the example of foundational NLP tasks such as named entity recognition. For accomplishing my research goals, I collaborate with NLP researchers from the IT University of Copenhagen and historical linguists from the Goethe University Frankfurt.

Giovanna Maria Dimitri is a researcher at the University of Siena, in the Artificial Intelligence Group led by Prof. Marco Gori. She previously completed her master (with distinction) and PhD in Computer Science at the University of Cambridge under the supervision of Prof. Pietro Liò in Artificial Intelligence and Machine Learning for biomedical data processing at the Department of Computer Science, and she holds a bachelor and master degree in computer engineering from the University of Siena, both completed with distinction. In 2023 she won the competitive Ai-Net Fellows Scholarship sponsored by DAAD, and she therefore was selected and visited the lab of Prof. Gemma Roig in December 2023. Since then started the collaboration with Prof. Gemma Roig group. She has been interviewed by several journals and tv shows in Italy for her expertise in Artificial Intelligence and Computer Science, and she has an extensive experience in terms of science communication events. Her research interests concern artificial intelligence, in a wide spectrum of applications, as well as in the development of foundational models.