About
I am a physicist and mathematician with a B.S in Physics and Applied Mathematics from Columbia University and a Ph.D. in Applied Physics from Cornell University. I have also held a postdoctoral research position at UC Berkeley. I currently teach Data Science and Machine Learning / AI at the Flatiron School and have been a curriculum developer for Brilliant.org (for courses in both Data Science and Quantum Computing).
I have over 15+ years of experience tutoring high school students, undergraduates, and graduate students in a wide array of disciplines (math, physics, engineering -- electrical and mechanical, and AI/Data Analysis). I find one-on-one work with students dynamic and engaging. Students learn in a myriad of ways. Some are visual learners, others require a way in which to narrativize their knowledge in a story-like form, and some others flourish through an abstraction first approach. Consequently I often find myself having to rethink the way I conceptualize and present the material I teach depending on the particular student. It is this part of the tutoring process that I find really enjoyable and a rather creative process.
I engage in a wide array of tutoring services. These include homework help, helping students understanding class lectures and readings, all the way to creating individualized courses from scratch (custom lecture notes, problem sets and exercises, etc.).
Specialties
Grade level
Type of math
Reviews
Ellen S.
Korok C.
Frequently asked questions
What is your typical process for working with a new student?
This depends highly on why the student has requested tutoring. If it is because they are having trouble with a subject matter, I typically spend the first session asking the student where in their course they have had difficulties in understanding the material or solving problems. Then we discuss areas where the student currently feels they are on shaky footing.
From there on, I focus on each of the areas of weakness and create a curriculum that uses some lecturing and an array of problem solving to try and clarify points that may have confused the student.
For students who wish to learn a subject on their own and do not have an accompanying course, I use a different approach. I lecture for about half the session and then we try and solve a few examples together. I also give the student homework based off of problems I have prepared.
What education and/or training do you have that relates to your work?
Ph.D in physics with an extensive background in mathematics and data analysis.
I have tutored and mentored across many levels of education ranging from high school students all the way to Ph.D students.
I have also taught full physics courses at the university level in both elementary (a basic introductory physics sequence) and advanced subjects (fluid mechanics, statistical mechanics, and quantum theory).
I am currently the senior Data Science instructor at Flatiron School's NYC flagship campus for their Machine Learning /AI intensive program. I also work as a curriculum developer for Brilliant.org: an online learning platform that uses simple puzzles and logical games to develop intuition and problem solving skills in mathematics and physics.
Do you have a standard pricing system for your lessons? If so, please share the details here.
I do not have a standard pricing system. It depends heavily on what the student requires and how many hours a week they want tutoring for.
What types of students have you worked with?
I have worked with a wide range of students. Some were at the middle school level and required help in basic arithmetic. Some were high schools students struggling with trigonometry. But I have also tutored Master's degree students specializing in technical fields who wished to learn advanced subjects (nanotechnology, thermodynamics, probability theory...to name a few things I have tutored in the past.)