My Projects

I am a senior software engineer at Mark43 with over 7 years of experience in backend development and a passion for mentorship and team leadership. Before joining Mark43, I worked at Palantir for one year as a Forward Deployed Engineer.

I studied computer science at Harvard, where I developed a passion for the growing intersection of technology, privacy, and government. As part of my career, I have had the opportunity to work at the Federal Trade Commission, a data use protection startup, and with professors at the vanguard of privacy research. My study of privacy vulnerabilities in darknet markets was covered by international media—read about it and my other work below!

As a hobby on the side, I manage the websites of my sister Karyn Lisker, and my friends Zev Kane and Ian Miller.

Decision Node by Eraser: Blog Post

Blog post on Elasticsearch and OpenSearch's use of analyzers, published on Eraser's blog on software design

SpeakerSaver

Software to monitor speaker usage, turning them off when not in use. Runs on a Raspberry Pi.

Pinpoint by Mark43 Podcast: Interview

June 13, 2019 Pinpoint by Mark 43 podcast episode interview on the future of Next Generation 911 and my work on the psychological impact of traumatic imagery on dispatchers.

The Sunday Times: Research Cited

February 2017 Sunday Times article on investigation inspired by my darknet market research.

The Washington Post: Coverage of Research

September 2016 Washington Post article covering my darknet market research.

Publication: Geolocation leaks in darknet markets

Published September 2016 on Medium, a study on geolocation metadata prevalence in markets on the dark web. Co-authored with Michael Rose.

Publication: Personal data sharing by mobile apps

Published October 2015 in the Journal of Technology Science, a study on user data sharing by mobile apps. Research conducted while a Fellow at the Federal Trade Commission.

Building an Electric Guitar

My journey building a custom Fender Telecaster-inspired guitar as part of Harvard's Computational Music Theory course, from raw wood to working instrument

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