building!
I co-founded Array Insights (formerly Secure AI Labs) based on my graduate work at MIT. We've built a federated learning architecture for secure analysis in the clinical space, enabling privacy-preserving machine learning across healthcare organizations.
Key achievements:
Learn more at arrayinsights.com
With a team of 5, I expanded a hackathon project of "23andMe + Blockchain" into an MIT startup that created a prototype for decentralized admixture/ancestry reporting services.
Key work:
Top 10 Pharmaceutical Company: AI Research Engineer and Architect
Leading development of an international federated learning platform across 3 countries and 10 institutions. Managing cross-functional collaboration with a team of 80, directly overseeing an engineering and product team of 20. Designed strategic roadmap and architected privacy-preserving machine learning features.
Google Hardware Spinout: Product & Commercialization Advisor
Advised Google hardware spinout on commercializing a hardware attestation and provenance standard. Facilitated stakeholder alignment across the supply chain from fabrication to OEMs.
MIT Healthcare Startup: Board Member & Advisor
Serve on the board of an MIT-based startup scaling concierge health services with AI. Provide strategic guidance on product development, go-to-market strategy, and scaling operations.
Tough Tech Startups: Executive Coach & Fundraising Advisor
Advised founders of hardware security and automated robotics startups on business strategy and fundraising. Facilitated introductions to venture capital investors and guided fundraising process.
Patient Advocacy Non-Profits: Machine Learning Scientist
Conducted data science projects for patient advocacy non-profit organizations. Developed clinical trial matching algorithms using topic modeling to expand patient eligibility beyond standard diagnosis criteria.
DEFCON 2023: "Can I put my DNA on the blockchain, mum?"
Explored the intersection of genetic data privacy and blockchain technology. Discussed implications of decentralized genetic data storage and sharing.
Video
DEFCON 2019: Hacking Race Workshop (BioHacking Village)
Educational workshop demonstrating how ancestry calculation services determine racial and ethnic backgrounds. Showed vulnerabilities in racial categorization through "reference population" manipulation. Taught participants to build admixture reports using public genetic data.
Hacking Race Slides | Github Repository
DEFCON 2018: "Selfie or Mugshot" - Facial Recognition Surveillance
Examined facial recognition technology use by law enforcement and privacy implications. Research contributed to Massachusetts pioneering state-wide restrictions on facial recognition (2021 police reform law). Collaborated with ACLU of Massachusetts and Electronic Frontier Foundation on cybersecurity and civil liberties.
Video | Related: Massachusetts facial recognition legislation
World Economic Forum 2019, Davos
Video
Imagination In Action 2019
Video
RSA Conference - Speaker
IEEE "Blockchain for Clinical Trials" Conference - Second place in whiteboard challenge
MIT School of Engineering "Engineers Revolutionizing Health Care" Symposium - Poster and pitch presentation
Blockchain in Healthcare Conference - Panelist
Master's Thesis: "Clinical Trial optimization using an Open Algorithms (OPAL) architecture audited by the blockchain" (Advisor: Alex "Sandy" Pentland, MIT Media Lab)
Shifa Zhang, Anne Kim, Dianbo Liu, Sandeep C. Nuckchady, Lauren Huang, Aditya Masurkar, Jingwei Zhang, Pratheek Karnatiz, Laura Martinez, Thomas Hardjono, Manolis Kellis, Zhizhuo Zhang. Genie: A Secure, Transparent Sharing and Services Platform for Genetic and Health Data
Emily Alsetzer, Anne Kim. Extractive Summarization of EHR Discharge Notes
Anne Kim. IEEE Blockchain for Clinical Trials White Board Challenge: OPEN Trial Chain
Computational Protein Design. This is a paper I wrote for a high school project during my summer in the New Jersey Governor's School program. We worked with Professor John Khan at Rutgers to investigate Heat Shock Proteins using molecular dynamics simulations using the Desmond super computer. Apologies for the poor paper formatting, since I've lost the original doc.
I really want to run the Abbott World Marathon Majors (Tokyo, Boston, London, Berlin, Chicago, and New York). It can be really difficult to register for these marathons because space is very limited. In an effort to run London 2018, I applied for a charity spot through St. Jude children's hospital. The odds were a little better--1000 applicants for 6 charity spots. We were selected on three criteria: ability to run a marathon, interesting story, and charity idea. After 8 years of rowing and some running, I was sure I could train for this! As for the story, I've actually used the St. Jude's dataset for a machine learning project in oncology and really believe in both the research and mission of the hospital. But what would this fit nerd do to raise $10,000?...
I decided to do an Initial Coin Offering--or rather an initial cookie offering.
The concept was called Cookie Coin and the idea was to make a token economy around a weekly series of digital bakesales. Here was the pitch I gave: Cookie Coin Concept.
And it kind of worked!
I actually did a test ico on the ethereum test network. I also worked with St. Jude's IT team at the MIT Bitcoin hackathon to make a couple repos for the token economy around the bakesale. However, the hospital was later uncomfortable with the idea of me launching a cryptocurrency with their branding, so I never got to actually finish up the project. Nevertheless, it was a lot of fun :)
Selected (6 of 900 applicants) by St. Jude for London Marathon 2018 charity spot. Completed London Marathon 2018.
I'm learning how to play the mandolin! Will post more audio clips soon!
Maggie Mae as of Aug 23, 2019
old joe clark as of May 12, 2019