Teaching

I am currently teaching in Spelman College as assistant professor of Mathematics. Before this position, I was an instructor of record for four years in the Texas Tech University (TTU) Mathematics and Statistics Department . I have taught 16 courses ranging in size from 10 students to 110 students so far.  My overall instructor effectiveness score was 4.7/5 over these courses.  You can access my teaching statement here.  Student evaluations with selected student comments from all classes I taught so far can be found here. I will add new ones if I am not super lazy...

I believe that offering scientific research in the form of a regular class is a great way to engage and inspire students. As a researcher, if you are passionate about sharing knowledge with students, then offering a special topics class can be a rewarding experience. Not only will you be able to impart your research to a new audience, but you will also have the opportunity to deepen your own understanding of the subject matter as you work to communicate its complexities to students with varying levels of prior knowledge. 

Have a look at the following examples;

Teaching Deep Learning in a Liberal Art College Setting

Although deep learning has achieved several breakthroughs in recent years, it is extremely rare to see it in an undergraduate curriculum due to several reasons such as lack of awareness, resources, expertise etc. 

To challenge this, I developed a brand new deep learning class in Spelman College, Introduction to Deep Learning with Python. You can access the materials on my GitHub. At the end of the course, I will share my thoughts and experiences, but for now, the course flyer provides a detailed overview of what will be covered

Mathematical Modelling in Tumor Immunology;  CART-cell therapy

I offered in Mathematical Models class in Spelman College.  The class focuses on fundamental concepts in mathematical oncology, with a specific emphasis on mathematical modelling in tumor immunology, including the latest developments in CART-cell therapies. This is also my research focus. 

We covered fundamental topics such as modelling with ODEs, optimization and parameter fitting, analysis of model behavior etc. Once we have a general idea about how this process works, we replicated all of the results in CARTmath by Barros et.al . Then, students grabbed a research paper about CART-cell modelling and replicated some of the results using Matlab. You can access their amazing presentations in our Github. See the figure on the right...

Courses Taught as Instructor of Record

Educational Outreach and Community Service