Email: jordanott365@gmail.com
I have two primary interests: economic history and manufacturing. The passion for economics has prompted a lifetime study of government policy and business history. This research culminated in the creation of my book, Back to the Future: How to Reignite American Innovation.
The second passion for manufacturing has led me to become a Staff Engineer at Path Robotics, where my work involves:
-
Multi-modal transformers for robotic manipulation and assembly
-
Generalized bin picking
-
Deep learning, reinforcement learning, and path planning
-
2D/3D geometric processing algorithms
I have been the lead engineer on the autonomous assembly and weld product
Education
B.S. in Computer Science
2014 - 2017
During my undergrad at Chapman I pitched on the school's baseball team and started the robotic's club
M.S. in Data Science
2017 - 2018
During my Master's I worked in the Machine Learning and Assistive Technologies Lab (MLAT). Where I researched various applications of deep learning and computer vision
Ph.D. in Computer Science
2018 - 2022
My research included:
-
Biologically plausible neural network architectures
-
Machine learning applications to the natural sciences including particle physics, climate modeling, and biomedical imaging