hi i'm
machine learning researcher +
full-stack developer
machine learning researcher +
full-stack developer
during the day, I study engineering science at the University of Toronto.
at night, I develop, design, and dream up ideas.
what i'm up to...
> accelerating pathways from molecules to medicine #drug discovery
> helping computers make decisions #machine learning
> bringing ideas to life (virtually) #programming
> interviewing the brightest minds #podcasting
> solving some of your biggest problems #coming soon
may 2023 - present
> leveraging LLMs to predict protein-ligand binding affinity from text-based molecular representations
> learned how to finetune LLMs, optimize performance of ML models, and gained extensive biochem background
> won Best Podium Presentation in AI + Data Analytics category at UofT UnERD 2024
> working under Prof. Alan Aspuru-Guzik
python, bash, pytorch
sept 2021 - present
> dean's honour list for all semesters thus far; currently in my fourth year
> was undeclared for first two years learning about all engineering disciplines, now specializing in machine intelligence major
> elected twice to represent my year as a class representative in engsoc (uoft's engineering student council), and was engsci VP academic in 3rd year
python, c, matlab
june 2024 - present
> leading a team of over 15 execs to organize the Women In Science and Engineering National Conference
> expecting over 500 attendees at our conference in January 2025, sold out tickets this past year
> working alongside sponsors, speakers, workshop hosts, & various universities across Canada and the US
leadership, professional communication, planning & organizational skill
may 2022 - august 2022
> sponsored by the ESROP-UofT Research Fellowship
> developing python software to replicate signal
processing used by the lab’s brain-computer interface system
> implementing an interprocess communication to allow the real-time exchange of
acquired EEG recordings to the processing stage
> developing graphical user interface to display EEG signals and set BCI operational parameters
> working under Prof. Milos Popovic and Prof. Cesar Marquez-Chin
python, labview
nov 2019 - aug 2020
> co-authored paper published in the proceedings of the 2022 IEEE International Conference on Intelligent Robots and Systems
> co-authored paper that was published in the ACM Transactions on Cyber-Physical Systems Journal
> developed machine-learning algorithms in python to detect and remove time delay in autonomous vehicle communication
> designed and implemented FCN, LSTM, ResNet, MLP, DFNN models
> worked under Prof. Deepa Kundur
python, matlab
aug 2021 - aug 2023
> tutored students in middle/high school on english, programming, and math
> introduced students in elementary school to the basics of programming (with scratch and python)
> helped students get admission to top high schools in toronto
> contact me if you're looking for a tutor!
march 2020 - march 2021
> co-founded this nonprofit organization to assess various solutions to the plastic pollution problem
> partnered with the Ellen MacArthur Foundation & ran a webinar for over 100 students internationally
> partnered with Plastic Bank to educate their workers about plastic pollution; developed online course deployed internally
> created infographics, articles, and ran podcast with over 25 episodes interviewing experts across the globe
> check out our manifesto
july 2018 - aug 2018
> developed NLP chatbot to answer frequently asked questions in their finance department; was deployed to over 3000 employees internationally
> programmed machine learning algorithm to detect high potential customers for Microsoft Azure
> presented work to former Canadian Minister of Science, the Honourable Kirsty Duncan
python, html/css, javascript, luis
july 2018 - aug 2018
> developed eye-tracker using computer webcam using python and opencv
> used project to determine which part of the screen users were focused on to optimize product design
> erudite ai was one of the Top 10 startups in the 2018 IBM Watson AI X-Prize challenge
python
july 2019 - aug 2019
> LaunchX MIT is a 4 week overnight entrepreneurship camp at MIT
> co-founded Detoxn, a startup dedicated to preventing alcohol addicts from relapsing
> programmed machine learning algorithm to predict chances of relapsing and developed website
> conducted extensive market research by attending Alcoholics Anonymous meetings; acquired over 50 preliminary users
> was voted as the 'female powerhouse' of my session
python, html/css, javascript
july 2019 - aug 2019
> LaunchX MIT is a 4 week overnight entrepreneurship camp at MIT
> co-founded Detoxn, a startup dedicated to preventing alcohol addicts from relapsing
> programmed machine learning algorithm to predict chances of relapsing and developed website
> conducted extensive market research by attending Alcoholics Anonymous meetings; acquired over 50 preliminary users
> was voted as the 'female powerhouse' of my session
python, html/css, javascript
march 2020-dec 2021; more coming soon!
> co-hosted & edited the plastic shift podcast; spoke to experts about the plastic pollution problem
> co-hosted & edited the knowledge archives podcast; interviewed professors around the world
> new podcast in the works ;
audacity
2024 ACM TCPS
publication
MIE424 semantic
segmentation
WISE national
conference
2022 IEEE IROS
publication
the plastic shift
website
treespot app
poster
globe and mail
article
the knowledge
archives podcast
ellen macarthur
foundation webinar
ctv news
interview
women of
influence feature
spell words
by blinking
VR flappy
bird game
VR tic-tac-toe
game
VR fruit
ninja game
++ check out my articles on medium :)
if you want to get in touch,
feel free to shoot me an email or msg me on my socials!
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