James Bennett, PhD

James Bennett, PhD has a diverse work experience. James is currently working at Synchron as a Principal Neural Engineer, a role they started in January 2023. Prior to this, they worked as a Neural Engineer at the same company from May 2021 to December 2022.

Before joining Synchron, James had experience in academia. James worked as a Workshop Demonstrator at the University of Melbourne from July 2018 to July 2019. Prior to that, they held multiple roles at Ormond College, The University of Melbourne. James worked as a Tutor from July 2018 to June 2019 and as an Operations Assistant from March 2014 to December 2018.

In addition to their academic and industry experience, James also participated in the iGEM Competition. James was part of the University of Melbourne iGEM Team as a Modeller from October 2015 to October 2016.

Furthermore, James has international experience as a Study Abroad Student at Sophia University in January 2014.

Overall, James Bennett, PhD has a strong background in neural engineering, academia, and research, with a focus on modellng and operations.

James Bennett, PhD, has an extensive education history in the field of biomedical and medical engineering. James obtained their Doctor of Philosophy (PhD) degree from the University of Melbourne from 2018 to 2021. James'sresearch focus during their PhD was in the field of biomedical and medical engineering.

Prior to their PhD, James completed a Master of Engineering (Biomedical) degree at the University of Melbourne from 2016 to 2017. Although the specific field of study is not mentioned, it can be inferred that it was related to biomedical engineering.

James also holds a Bachelor of Biomedicine degree from the University of Melbourne, which they earned from 2013 to 2015. James'sfield of study during their bachelor's program was Bioengineering Systems.

Before pursuing higher education, James completed their Victorian Certificate of Education (VCE) from Melbourne Grammar School from 2010 to 2012.

In addition to their formal education, James has obtained several certifications to expand their knowledge and skills. James completed the "Flutter & Dart - The Complete Guide" certification from Udemy in July 2021. Prior to their PhD, they undertook several online courses from Coursera, including "Deep Learning Specialization," "Sequence Models," "Convolutional Neural Networks," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Neural Networks and Deep Learning," and "Structuring Machine Learning Projects," all of which they completed in January and February 2018. These certifications demonstrate their commitment to continuous learning and staying updated with the latest developments in their field.