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I am a PhD student studying Computational Biology, working on machine learning/statistical/algorithmic methods and software tools for proteomics.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Toronto
Data Scientist
June 19, 2026 – Present
diffusion-deconvolution-dia-msms-data
September 27, 2024 – April 4, 2025
🚀 Winner of the Donnelly Centre Innovation and Commercialization award: Apply diffusion models to deconvolute highly multiplexed DIA-MS/MS data by conditioning on MS1 signals to generate cleaner MS2 data for downstream analysis.
View Projectmassdash
October 20, 2023 – Present
MassDash: A web-based dashboard for streamlined DIA-MS visualization, analysis, prototyping, and optimization
View ProjectDeepLearningForIonMobility
June 16, 2020 – January 3, 2022
DeepLearningForIonMobility — GitHub repository
View ProjectSherlockChromes
March 5, 2019 – January 20, 2023
Deep Learning based Chromatographic Region of Interest Detector.
View ProjectDIAPASEF_scripts
January 31, 2019 – January 9, 2020
Documentations of all useful scripts for analysis.
View ProjectFeulgenPloidyEstimation
December 21, 2018 – December 21, 2018
Use computer vision techniques to process Feulgen stained microscopy images for use in ploidy estimation.
View ProjectDETECT-v2
June 6, 2017 – June 30, 2022
Version 2 of the Density Estimation Tool for Enzyme ClassificaTion: scripts for enzyme annotation and pipeline for making the DETECT database
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and research-focused, indicating a strong drive for independent exploration and technical depth. The current role as a Data Scientist at the University of Toronto aligns with the target role. However, the lack of team-based or collaborative project descriptions makes it difficult to assess cultural fit beyond individual technical contribution. The diversity of projects, while technically rich, leans heavily into specific scientific domains (mass spectrometry, microscopy, bioinformatics), which may require adaptation to broader industry applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical problem-solving and research-oriented tasks.