Dr. Ertosun graduated from Bilkent Üniversitesi (Bilkent University) with a B.S. degree in Electrical & Electronics Engineering in 2004. During his undergraduate studies at Bilkent, he conducted research with Prof. Haldun Ozaktas in the fields of optics and signal processing. He received an M.S. degree in Electrical Engineering from Stanford University in 2006, where his research focused on optoelectronic & semiconductor devices, and carbon nanotubes. He received a second M.S. degree in Financial Mathematics from Stanford in 2009. In the field of quantitative finance, his interests include credit risk & modeling, financial instrument pricing, and computational modeling with applications to finance, including simulation of stochastic processes and asset pricing models.
In 2010, he earned his Ph.D. degree from Electrical Engineering department of Stanford University, where he was a research assistant in the research lab of Prof. Krishna Saraswat. His Ph.D. research was focused on novel single-transistor dynamic random-access memory (DRAM) technologies.
Between 2010 and 2012, he worked as a Senior Member of Technical Staff -- Research Engineer in the industry, and conducted research in the field of novel & emerging memory technologies, where he was focused on modeling, optimization and engineering of emerging memories such as resistive switch memories.
In 2012, he joined the Molecular Imaging Instrumentation Laboratory at Stanford School of Medicine as a postdoctoral scholar, where he worked on development, modeling and simulation of novel medical imaging technologies, with a special interest in photon-counting CT technology with aspects ranging from semiconductor-level novel detector studies to quantitative imaging and biomedical informatics studies.
In 2014, Dr. Ertosun has been selected to be an SCIT fellow. The Stanford Cancer Imaging Training (SCIT) Program, supported by the National Cancer Institute, aims to train the next generation of researchers in the development and clinical application of advanced techniques for cancer imaging.
In 2015, he joined Integrative Biomedical Imaging Informatics at Stanford (IBIIS: http://ibiis.stanford.edu) to work on applications of artificial intelligence and machine learning for detection and diagnosis of cancer.
Doctor of Philosophy, Stanford University, EE-PHD (2010)
Master of Science, Stanford University, FMATH-MS (2009)
Master of Science, Stanford University, EE-MS (2006)
Bachelor of Science, Bilkent University, Electrical & Electronics Eng. (2004)