Intellectually curious.
Lifelong learner.
Technically minded, socially motivated.

Hey! I'm a recent graduate of Dartmouth College from Montréal who majored in computer science modified with engineering and minored in public policy. I'm passionate about responsibile innovation, security and privacy, AI ethics, and the impact of disruptive technologies on society.

I'm currently in Washington, DC where I'm working at Appian as an associate consultant!

Select Coursework

AR and VR Development Computer Architecture Data Analysis Digital Electronics Future of Capitalism Machine Learning Microprocessors in Engineered Systems Numerical Methods Political Economy in the Age of Google Security and Privacy in the Lifecycle of IoT for Consumer Environments Security and Privacy of Machine Learning Writing and Speaking Public Policy

Select Projects


For my Senior Honors Thesis, I designed a network of smart-home routers working collaboratively to defend smart-device traffic from analysis by ISPs. TorSH succeeds in deterring such profiling while preserving smart-device experiences and without encumbering latency-sensitive, non-smart-device experiences like web browsing. Patent pending.

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A bar chart comparing web page render times under Tor, under TorSH, and under regular routing.

Intersectional Fairness[2021]

For our Security and Privacy of Machine Learning course, a partner and I improved the model-training strategy by Delobelle et al., which sought to ensure model fairness along one protected attribute, by ensuring intersectional fairness along multiple protected attributes.

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A line chart comparing fairness metrics along protected attributes.

VR Croquet[2020]

For our AR and VR development course, a partner and I created a single-player VR croquet game. Together we conceptualized its look and feel, then she designed models, which I incorporated into a Unity scene with physics and gameplay.

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A line-drawing of a virtual reality headset. Image entitled Virtual Reality by Vladimir Belochkin from the Noun Project.

Data-Based Transit Planner[2018]

For my IB Math HL Internal Assessment, I developed a method to propose efficient public transit routes. I scraped points of interest from Google Maps then used various graphical data analysis techniques to iteratively cluster them.

Read the paper Browse the code


A scatter plot displaying a sample proposed public transit network from my 2018 project.

Accelerating Magnetic Gear Train Analysis[2017]

For my IB Extended Essay in Physics, I developed a method to predict slipping in magnetic gear trains. Using a few discrete measurements of the stationary system, I could predict its behaviour as it accelerated.

Read the paper Browse the code


A magnet field diagram visualizing the magnet field between two interlocking magnetic gears from my 2017 project.