Ananya Jha
Majors: Computer Science and Statistics
Minor: Mathematics
University College
What inspired you to study computer science at U of T?
I was first introduced to programming in grade 11, and it was love at first code! I was captivated by the logic, problem-solving and creativity involved in writing software. So, when it came time to choose a field of study for university, pursuing computer science was a no-brainer for me. I chose the University of Toronto, primarily because of the program's design. U of T offered me the opportunity to pursue a multidisciplinary education in computer science, statistics and mathematics. This appealed to me because I believe a well-rounded background in these areas would make me a more versatile and adaptable professional.
Who or what at U of T influenced your education the most?
To be completely honest, every professor I've had at U of T over the past four years has influenced my education somehow.
However, a few standout professors have had a profound impact on me, fundamentally shaping the way I think.
Professor Liza Bolton [formerly of the Department of Statistical Sciences] introduced me to the importance of data ethics, igniting my passion in that area and motivating me to pursue a reading course with Professor Rohan Alexander [of the Department of Statistical Sciences and the Faculty of Information], who truly revolutionized my thinking about data science and AI.
Professor Sam Caetano [of the Department of Statistical Sciences] pushed me to pursue a research project aligned with my interests and provided invaluable guidance whenever I faced challenges.
[Department of Computer Science] Professors Steve Engels, Karen Reid and Diane Horton made classes incredibly enjoyable and engaging and were so welcoming that I was less intimidated to go to office hours. These professors, among others, have collectively shaped my educational journey at U of T and inspired me to approach learning with curiosity, enthusiasm and a commitment to exploring new ideas.
Tell us about an experience from one of your CS courses that stands out to you?
As a photography enthusiast, I was super excited to take an intro to computer vision course [CSC320]. It was mind-blowing to learn about the inner workings of cameras and the algorithms behind image editing. We got to try out different editing techniques using code, like blurring, sharpening, and even image inpainting!
Image inpainting was the real highlight. We had an assignment where we had to remove objects from images using various algorithms. It was like getting a peek behind the curtain of those editing apps we use all the time. Being able to create our own image editing results using code was both educational and fun. It deepened my understanding of computer vision and gave me a whole new appreciation for the technology behind the images we capture.
What U of T memory do you treasure the most?
One of the most treasured memories I have from my time at the University of Toronto is my involvement in leading U of T Women in Computer Science (WiCS), a student-run club, for the past two years. It has been the highlight of my college life and an enriching experience. As the president, I led a team of fellow students who shared my dedication to promoting diversity and inclusion in computer science. Working alongside these talented individuals, learning from them, and collectively positively impacting the women's computer science community at U of T has been an absolute joy and source of fulfilment for me.
What’s next for you?
I am thrilled to be joining RBC Capital Markets in their Quantitative Technology Services group as a Technology New Grad. This opportunity and program are what I've wanted to pursue since I started my university journey and align perfectly with my future career aspirations. I am excited to embark on this new chapter and see what the world of fintech has in store for me.
This Q&A has been edited for clarity and length.