- Credits
- Full-time
- Submission Date
- 11/29/24
- Interview Date
- 1/10/25
- UGPA
- 3.89
- GRE Q
- 170
- GRE V
- 159
27 Jan 2025: alumni interview conducted, mostly technical (stats/probability/ML), some behavioural.
20 Jan 2025: first interview conducted, with career dept, mostly behavioural, some brainteasers.
15 Jan 2025: offered alumni interview.
10 Jan 2025: offered interview.
28 Dec 2024: math assessment (probably full score).
29 Nov 2024: applied.
Education:
4th year CS undergrad at UofT, minor in statistics.
Research:
(AI+chemistry) submitted to Nature Machine Intelligence [first author]
(audio gen, diffusion) accepted to ICML 2024 workshop [second author]
(vision, diffusion) accepted to Annual Small Satellite Conference [shared author]
(AI+chemistry) in progress, to be submitted to JCIM [first author]
(AI+finance) in progress, practical paper to be written [first author]
Worked as research assistant at finance lab, contributed to various projects involving trading algorithms, stock prediction, news sentiment analysis, options pricing, RL powered trading, etc.
Presented my work at 5-6 conference, won best research poster award.
Awards:
Data Science Institute SUDS Scholar, University of Toronto = CAD 7,200
Dr. James A. & Connie P. Dickson Scholarship, University College = CAD 500
Arts and Science Faculty Award, University of Toronto = CAD 7,500
University of Toronto International Scholar Award = CAD 92,500
Best Research Poster Award, DSI SUDS Showcase 2024
Dean’s List Scholar, University of Toronto 2024, 2023
Extracurricular:
Project lead at university aerospace team, worked on vision (denoising, destriping, etc) projects.
Founded a computer vision club at university, conducted lot of paper reading and breakdown sessions.
Paper reviewer at alphaXiv, second-highest upvoted reviewer on the platform as of November 2024.
20 Jan 2025: first interview conducted, with career dept, mostly behavioural, some brainteasers.
15 Jan 2025: offered alumni interview.
10 Jan 2025: offered interview.
28 Dec 2024: math assessment (probably full score).
29 Nov 2024: applied.
Education:
4th year CS undergrad at UofT, minor in statistics.
Research:
(AI+chemistry) submitted to Nature Machine Intelligence [first author]
(audio gen, diffusion) accepted to ICML 2024 workshop [second author]
(vision, diffusion) accepted to Annual Small Satellite Conference [shared author]
(AI+chemistry) in progress, to be submitted to JCIM [first author]
(AI+finance) in progress, practical paper to be written [first author]
Worked as research assistant at finance lab, contributed to various projects involving trading algorithms, stock prediction, news sentiment analysis, options pricing, RL powered trading, etc.
Presented my work at 5-6 conference, won best research poster award.
Awards:
Data Science Institute SUDS Scholar, University of Toronto = CAD 7,200
Dr. James A. & Connie P. Dickson Scholarship, University College = CAD 500
Arts and Science Faculty Award, University of Toronto = CAD 7,500
University of Toronto International Scholar Award = CAD 92,500
Best Research Poster Award, DSI SUDS Showcase 2024
Dean’s List Scholar, University of Toronto 2024, 2023
Extracurricular:
Project lead at university aerospace team, worked on vision (denoising, destriping, etc) projects.
Founded a computer vision club at university, conducted lot of paper reading and breakdown sessions.
Paper reviewer at alphaXiv, second-highest upvoted reviewer on the platform as of November 2024.
