Personal Description:

I'm a Data Scientist who develops artificial intelligence algorithms for clinical applications. I got my PhD in Biomedical Engineering from a top 10 university in the world. For my PhD, I built signal processing and machine learning frameworks for neurological diseases and disorders. I have taught several 100+ students classes for university students in advanced mathematics and computer science courses. I discovered my passion for teaching during my PhD. During my tenure as a Teaching Associate, I found instant gratification when I was teaching classes and learn that I was positively influencing the academic lives of my students.

Tutoring Experience:

2 years teaching experience in advanced mathematics and computer skills for college students.

Tutoring Approach:

I believe that personalized program is the best way to achieve maximum efficiency while tutoring. I believe that each student is unique in their learning abilities and learning trajectories, so personalizing course instruction to realize the maximum potential is imperative. To maximize learning outcomes, I design my classes and syllabus based on various attributes of teaching such as difficulty, repetition, salience and timing tailored to an individual. For example, individuals react to difficulty of concepts in different ways. Some individuals like to be challenged constantly while others require smaller, easier blocks of learning with many positive reinforcements. I try to find the sweet-spot for each individual where they are challenged and innately curious to actively be part of the learning process.