I am a Machine Learning Consultant for a series of senior undergraduate research courses (CSC392, CSC492, PHY372 and PHY399) focused on a single project supervised by Dr. Dennis Fernandes. The project seeks to help protein biophysics researchers by fine-tuning an existing Large Language Model to become apt at answering protein structural related queries. My role includes developing the project idea, timeline, grading reports and presentations and giving guidance on working with Large Language… Show more I am a Machine Learning Consultant for a series of senior undergraduate research courses (CSC392, CSC492, PHY372 and PHY399) focused on a single project supervised by Dr. Dennis Fernandes. The project seeks to help protein biophysics researchers by fine-tuning an existing Large Language Model to become apt at answering protein structural related queries. My role includes developing the project idea, timeline, grading reports and presentations and giving guidance on working with Large Language Models. Show less

I was a TA for MAT236 (Vector Calculus). My duties included running weekly tutorials, holding office hours, invigilating tests and marking assignments and tests.

I was a TA for MAT244 (Differential Equations). My duties include running weekly tutorials, holding office hours, invigilating tests and marking assignments and tests.

Integrative modelling to characterize the intrinsically disordered protein 4E-BP2• Incorporated data from Small-angle X-ray Scattering, Paramagnetic Relaxation Enhancement, Chemical Shifts and Single Molecule Forster Resonance Energy Transfer experiments to create a structural ensemble model of the 4E-BP2 protein by leveraging Bayesian statistics• Optimized protein ensemble model probed by polymer physics analysis and unsupervised learning to reveal key falsifiable predictions related… Show more Integrative modelling to characterize the intrinsically disordered protein 4E-BP2• Incorporated data from Small-angle X-ray Scattering, Paramagnetic Relaxation Enhancement, Chemical Shifts and Single Molecule Forster Resonance Energy Transfer experiments to create a structural ensemble model of the 4E-BP2 protein by leveraging Bayesian statistics• Optimized protein ensemble model probed by polymer physics analysis and unsupervised learning to reveal key falsifiable predictions related to 4E-BP2's structure-function relationship• Collaborated with the Forman-Kay group from the SickKids Research Institute and the Head-Gordon group from the University of California, Berkeley• Results presented at the 2021 and 2022 annual Biophysical Society of Canada and Canadian Association of Physicists meetings, 2021 and 2023 annual Biophysical Society meetings and the 2023 Chemical Biophysics Symposium Show less

I was a TA for PHY136 (Introductory Physics I). My duties included running tutorials, monitoring lab sessions and marking labs and quizzes.

(Team Lead)I was a software team lead at the AI startup Vosyn. My tasks included: data pipeline design, training and evaluating various machine learning NLP models and coordinating team meetings, workflow and planning.I contributed to the creation of a cutting-edge privacy focused framework for voice synthesis systems. This work was accepted to the ACL PrivateNLP 2024 Workshop.Link: https://aclanthology.org/2024.privatenlp-1.6/

I was a TA for PHY136 (Introductory Physics I). My duties included running tutorials, monitoring lab sessions and marking labs and quizzes.

I was a TA for MAT135 (Differential Calculus). My duties included running weekly tutorials, holding office hours and marking assignments and tests.

Taught mathematics for grades 1-12 and was responsible for training newly hired staff.

Investigating our changing climate with a climate model• Investigating phenomena such as the greenhouse effect and Arctic amplification• Analyzed predictions made using high grade computational climate models