Mirta Dumancic, PhD, was born and raised in Croatia, where she also studied Physics at the Faculty of Science at the University of Zagreb. Her master’s thesis was in detector development for particle physics. She finished her Ph.D. at the Weizmann Institute of Science in Israel where she studied the weak-boson production in heavy ion collisions with the LHC detector. After that, she took interest in medical physics and joined the experimental work in breakthrough technology with diffusing alpha-emitters radiation therapy (DaRT) at Ben-Gurion University in Beer Sheva, Israel. She recently joined the Enger lab to further pursue new venues in radiotherapy and radiobiology. At the EngerLab, Mirta aims to use both Geant4 simulation techniques and available experimental tools to measure microdosimetric distributions, and provide a more quantitative understanding of the radiobiological effects for different radiation qualities.
Parsa Bagherzadeh obtained his PhD in Computer Science from Concordia University, under the supervision of Professor Sabine Bergler, and he was a proud member of the CLaC lab (Computational Linguistics at Concordia). In his PhD he focused on the integration of external knowledge sources for language processing, specifically biomedical text processing. He has a masters in Artificial Intelligence from Ferdowsi University of Mashhad, Iran, and a bachelor’s in Computer Engineering from the University of Birjand, Iran. At the EngerLab, Parsa aims to use AI-based Natural Language Processing techniques to integrate clinical text reports into a multimodality treatment outcome prediction pipeline.
