Alexander Farnum

Alexander Farnum has a diverse work experience spanning multiple roles and industries. Alexander most recently worked as a Machine Learning Engineer at Vadum Inc. starting in January 2023.

Prior to this, Alexander served as a Graduate Research Assistant at Michigan State University from August 2017 to December 2022. During this time, they contributed to research projects as part of their graduate studies.

Before their time at the university, Alexander worked as a Research Coordinator at the Kennedy Krieger Institute from December 2015 to August 2017. Here, they took on responsibilities related to coordinating and managing research activities.

Additionally, Alexander gained experience as a Practicum Student at the Kennedy Krieger Institute in August 2014, allowing him to gain hands-on experience in their field.

Overall, Alexander Farnum's work experience highlights their expertise in machine learning, research, and coordination, demonstrating their commitment and growth within their field.

Alexander Farnum completed their Bachelor of Arts degree in Psychology at the University of Maryland from 2011 to 2015. Following that, they pursued a Doctor of Philosophy (PhD) degree in Bioengineering and Biomedical Engineering at Michigan State University, which they are expected to complete between 2017 and 2023.

In addition to their formal education, Alexander Farnum has obtained several certifications in the field of computer science and machine learning. Alexander completed courses such as "Python: Object Oriented Programming" at Udemy in September 2022. Alexander also completed multiple courses on Coursera, including "Sequence Models" in December 2020, "Convolutional Neural Networks" in November 2020, "Structuring Machine Learning Projects" in September 2020, "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" in August 2020, and "Neural Networks and Deep Learning" in June 2020.