Expert Guidance in Math, Statistics, and Machine Learning.
Contact:
inquiries@grad-ascent.com
I am a:
In case you’re wondering, my name is pronounced like Jordan with an ‘i’. But Jordan is also fine :)
My first teaching experience was in high school, when my chemistry teacher let me teach the class for ten minutes to explain the reaction rate equations with calculus. Good times!
During my undergraduate studies at Miami University and Royal Holloway University, I worked as a teaching assistant for statistics classes, and tutored high school students preparing for AP Calculus exams. From there, I went on to earn a PhD in theoretical mathematics from the University of Texas at Austin. To fund my studies, I worked as a teaching assistant for all levels of calculus, in addition to differential equations, linear algebra, and abstract algebra. I also continued tutoring and mentoring on the side.
Since graduating, I’ve been teaching mathematics and machine learning at several universities and institutes in the US and around the world (Austria, Israel, the Netherlands). In addition, as a volunteer, I’ve co-organized high school math camps in Ghana, Kenya, and Ethiopia.
I’ve published original research in mathematics and machine learning, and engaged in other academic activities, such as presenting at seminars, organizing international conferences, collaborating with an eclectic mix of scholars, preparing grant proposals, and mentoring graduate students. For more about the sort of research I’ve done, as well as a collection of expository notes, check out my research site.
On the industry side, I worked as a quantitative developer in the finance sector, and have been involved with several start-ups as a consultant / data scientist / data engineer. I’m familiar with the scrum agile workflow framework and with software development tools such as git and docker. While Python is my strongest language, I also have experience with Rust and PostgreSQL.