Ashley Montazer

Ashley Montazer, PhD, has a varied work experience that includes roles in software engineering, research, and teaching. Most recently, they have been working as a Software Engineer at Clari since July 2021. Prior to that, they worked as a Graduate Research Assistant at UC Merced from August 2015 to June 2021, where they focused on developing algorithms with better provable guarantees by incorporating machine learning predictions. Ashley also worked as a Graduate Teaching Assistant at UC Merced from January 2017 to May 2017 and from August 2015 to December 2015.

In 2020, Ashley worked as a Software Engineer Intern at Niantic, Inc., where they improved augmented reality features in apps like Pokemon Go and Ingress by implementing a new deep learning model. Ashley also enhanced the engineering teams' internal API with additional testing features.

Additionally, they have gained research experience as a Visiting PhD Student at the University of California, Berkeley from August 2017 to December 2017 and as a Volunteer Research Assistant at Stanford University from October 2016 to June 2017. Prior to pursuing their PhD, they worked as a Research Assistant at the Institute for Research in Fundamental Sciences from September 2013 to July 2015.

Ashley's teaching experience includes a role as a Teaching Assistant at the University of Tehran in August 2014.

Overall, Ashley Montazer, PhD, brings a diverse background and skill set to their work, with expertise in software engineering, algorithm design, machine learning, and teaching.

Ashley Montazer, PhD, obtained a Bachelor's degree in Computer Science from the University of Tehran, where they studied from 2010 to 2015. Ashley then pursued a Doctor of Philosophy (PhD) in Computer Science at the University of California, Merced, from 2015 to 2021. Apart from their formal education, Ashley also participated in various workshops and programs to enhance their skills. Ashley attended the Women in Theory Workshop at Harvard University, the Summer Workshop on Learning-Based Algorithms at the Toyota Technological Institute at Chicago, the Algorithms and Uncertainty Boot Camp at the University of California, Berkeley, and the Optimization and Decision-Making Under Uncertainty Workshop, also at the University of California, Berkeley. Additionally, Ashley holds certifications in Elements of Scrum from Agile Learning Labs and has completed the EMPOWER: UC Merced Womxn's Leadership Development Program from the University of California, Merced. Furthermore, they have obtained certifications in Drawing and Oil Painting from the College of Fine Arts at the University of Tehran. Ashley has also earned several edX Honor Code Certificates in courses such as Human Health and Global Environmental Change, Introduction to Statistics: Probability, Justice, Software as a Service, and The Ancient Greek Hero.