Harvard Catalyst Profiles

University of Edinburgh , Edinburgh, UK	BEng	06/2017	AI and Software Engineering
University of Cambridge, Cambridge, UK	Ph.D	08/2020	Engineering (AI and Robotics)
Massachusetts Institute of Technology (MIT), Cambridge, USA		08/2019	Brains, Minds and Machines Summer Course Artificial Intelligence
University of Cambridge, Cambridge, UK	Post-Doctoral Research Associate	04/2021	AI and Robotics
Harvard University / Dana Farber, Boston, USA	Post-Doctoral Research Fellow		AI for Genomics and Cancer Immunotherapy

Luca Scimeca is a Postdoctoral Fellow at Harvard University and Dana Farber, with a background in Artificial Intelligence, Robotics and Mathematics. His current research efforts focus on the use of machine learning in the context of synthetic biology, immunology, and virology. In this regard, he is working 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.

During his PhD and Postdoctoral research at the University of Cambridge (UK), Luca has worked on the application of advanced machine learning models for the purpose of sensory perception and action in robotics system. From 2019, his research has led to apply these technologies to robotics clinical settings, where, with the help of clinicians, they investigated the possibility for robotic systems to perform physical examinations. This was reflected in two major European EPSRC grants, MOTIOROBOTPATIENT grants for a combined worth of over $1,500,000. As both a PhD and Postdoctoral researcher, under the supervision of Dr Fumiya Iida, Luca has led several of the major investigations related to both grants, which have resulted in the publication of over 15 peer revied articles on high impact journals or international conference proceedings.

Luca received his First Class Bachelor of Engineering in Artificial Intelligence and Software Engineering 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. During his studies Luca has won over 13 awards, 9 of which paid scholarships for academic performance.

• Machine Learning
• Artificial Intelligence
• Robotics
• AI in Healthcare
• AI for Genomics
• Computer Vision
• Probabilistic Inference
• Deep Learning