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Freelance AI Trainer (Physics/Math/STEM)

Outlier AI

Create high quality data for AI models using expert knowledge and a high attention to detail in a dynamic and time-sensitive environment.

• Reasoning, Problem Solving, AI Prompting, Repetitive Tasks, Attention to Detail

Postdoctoral Fellow

Deptartment of Mathematics, University of British Columbia

Used high-performance computing methods to study phenonmena in developmental biology. Also taught calculus and differential equations to science and engineering students.

• Applied Mathematics, ODEs, PDEs, Dynamical Systems

Digital Signal Processing Developer

Oscilloscape LLC

Optimized real-time auditory processing algorithms (>100x speedup) for deployment on low-end hardware.

• Python, C++, Signal Processing, Nonlinear ODEs, Realtime Algorithms, Raspberry Pi

Digital Signal Processing Intern

InterAxon (Muse)

Enhanced signal processing accuracy by implementing advanced de-noising techniques (optimally smooth FFT) and feature extraction algorithms (FOOOF), leading to more reliable biomedical data insights.

• Python, Signal Processing, Data Analysis, Feature Extraction

Part-time Web Developer

Centre for Structural and Functional Genomics

Streamlined data pipelines and developed interactive visualization tools for bioinformatics applications, enhancing accessibility of enzyme annotation data for researchers.

• Java, HTML, Apache Tomcat, d3.js

PhD

McGill University

Physiology

• Key Skills: Nonlinear dynamics, stochastic processes, data analysis pipelines, machine learning.
• Thesis: Modelling the dynamics of cellular motililty, from adhesion dynamics to cellular migration.
• Courses: Active Mechanics in Biology; Respiratory, Renal, & Cardiovascular Physiology; Blood, Gastrointestinal, & Immune System Physiology; Analyzing Physiological Systems; Numerical Analysis I; Numerical Differential Equations.

MSc

McGill University

Physics

• Key Skills: Numerical ODE solvers, Bayesian inference (MCMC), data fitting.
• Thesis: Deciphering the allosteric modulation of the purinergic P2X receptors using Markov models.
• Courses: Biomedical Signals & Systems; Topics in PDEs; Biophysics; Stochastic Processes.

BSc

Concordia University

Biophysics

• Specialization: Computational Chemistry.

The Walter Raudorf Medal for Physics

Department of Physics, Concordia University