Emmanuel Iarussi

Emmanuel Iarussi is an Assistant Professor at the Universidad Torcuato Di Tella and a researcher at CONICET in Buenos Aires. He holds a Ph.D. in Computer Graphics from INRIA Sophia Antipolis, supervised by Adrien Bousseau and George Drettakis, and completed a postdoc at IST Austria under Bernd Bickel. His engineering degree is from UNICEN University (2012). His research bridges AI, computer graphics, and medical imaging, focusing on generative models for 2D/3D content manipulation.

Research Interests: His work spans AI-driven medical imaging, generative models for vascular structures, ultrasound simulation, and bone microstructure modeling. Key areas include autoregressive modeling, variational autoencoders, and applications in healthcare and biomedical engineering.

Recent Trends in Articles: Recent publications emphasize combining AI techniques with medical applications, such as vascular geometry synthesis, melanoma detection reviews, and ultrasound realism enhancement. His work often intersects generative networks and clinical diagnostics.

Grants & Recognition: Awarded a $69,960 grant from the Sloan Foundation’s Trust in AI initiative (2024). Active in workshops on AI ethics, public discourse, and open science.

Labs & Teams: Leads projects like VisDecode (AI-driven scientific plot analysis) and contributes to repositories like generative3DSpongiosa for bone microstructure modeling.