Through the summers of 2018-2020, I spent time in an ovarian cancer research lab at Massachusetts General Hospital. I worked with a sub-group known as the "MIS group", a team collectively investigating MIS' (Mullerian Inhibiting Substance) ability to preserve female fertility during intense chemotherapeutic treatments. During my first summer at the lab, I learned more about the biological methods used in specific genomic testing, while in my second time there, I focused on the data science methods, using R and Seurat for R, which allow the genomic data to be interpreted.

At the conclusion of my 2020 internship, which I completed remotely due to COVID, I thought of an idea for a project that would make research more efficient and was within my abilities. The idea came after I found myself manually compiling the data for a presentation, for the third summer in a row. Manual collection of these data points is incredibly time-consuming, as measurement needs to be taken manually and there are about 400 of them per ovary section, and about 12 sections per ovary, depending on the organism.

I thought to use my math and CS knowledge to propose my idea to the Principal Investigator. I was promptly invited to begin developing my idea, which is why I decided to take a gap year. My current vision is to have a software program that will be able to interpret the sections of ovary and produce faster and more accurate measurements than before. I hope to begin testing such software by September of 2021.

Observing a section of tumerous ovarian tissue with my research supervisor Dr. David Pepin

Dr. Pepin and with previous research findings that I studied in-depth.

Me in front of the Lab's emblem.

Observing a section of tumerous ovarian tissue with my research supervisor Dr. David Pepin



As learning is a really huge part of who I am, I thought to include a small section about what I love learning, the programs I follow and anything related to my learning adventures

Last update: November 2020


Calculus, Statistics, Set Theory

I am one who always tries to expand their knowledge, especially when it comes to the central field of mathematics. Following high school, I found math to be taught with a systematic approach focusing on application rather than theory. As I graduated I did some research online and discovered Apostol's Calculus books through MIT Open Courseware's Calculus With Theory course. I follow a combination of the course notes and the textbook and have been working especially hard at proof-writing. The book touches on set theory and statistics to uniquely develop its approach to calculus.


Biology and Relativity

I love science and (almost) all parts of it. Unfortunately, my school only permitted me to take 2 sciences, and I decided on Physics and Chemistry. I am well versed in the areas of Biology used by the MGH lab, however, I am following the introductory Biology course from MIT Open Courseware to grasp the subject more deeply and broadly. 

Physics is my favourite science. I love the mathematics of it and marvel at its theories. Something that I have been fascinated about is the theories of relativity. I have studied Galilean relativity and Lorentz's equations in-depth, however am studying multivariable calculus to be able to truly understand Einstein's General Theory of Relativity and the way it transforms Newtonian Mechanics.