Personal information

Robotics, Machine Learning, Artificial Intelligence, Control
Italy

Biography

Luca Scimeca is a Postdoctoral Research Fellow in Yoshua Bengio's group, at the Mila AI Institute. His research focuses on generative AI, learning representations, bias, and generalization in deep learning, as well as AI applications in drug discovery and robotics.

Dr Scimeca was awarded a BEng in Artificial Intelligence and Software Engineering in 2017 from the University of Edinburgh, where he graduated summa cum laude, obtaining the Class Award and Howe Prize for the best performance in Artificial Intelligence.

Dr. Scimeca pursued his Ph.D. and Postdoctoral research at the University of Cambridge's Biologically Inspired Robotics Laboratory (BIRL) under the supervision of Prof. Fumiya Iida, where he worked on the application of machine learning for sensory perception and action in robotics systems.

In 2021 he joined Never Corp. as a visiting AI Research Scientist, focusing on the topics of learning representations, robustness, and generalization in deep learning.

Finally, Dr Scimeca is a former Postdoctoral Fellow at Harvard University and Dana Farber, where he worked closely with Dr. Ming-Ru Wu to boost computational biomedical research and to use machine learning to answer basic questions in tumor biology and immunotherapy, with the ultimate goal of improving cancer treatment quality and efficiency.