About Me

My career is driven by a passion for everything cryptocurrency related. After starting my career in TradFi trading at RBC, I transitioned fully into crypto, applying my analytical skills at top-tier firms including BitMEX, Paradigm, and Chainalysis. My work has spanned from building AML monitoring systems and fine-tuning ML models for trading products to investigating on-chain forensic cases for government agencies.

My passion for crypto began at Carnegie Mellon, where I took every available class on the subject, attended conferences, and joined the university's blockchain club. Today, I'm building on that foundation as an MSc candidate in Information Security at UCL, where I'm focusing on cryptography and conducting research. I'm eager to contribute to a team at the frontier of the crypto, tackling complex technical challenges and advancing cutting-edge research.

Education

MSc Candidate in Information Security

University College London | 2024 - 2025

BS in Business Administration, Minor in Computer Science

Carnegie Mellon University | 2016 - 2020

Work Experience

Associate Data Scientist, Chainalysis

New York, NY | 2024

Associate Product Manager, Paradigm

Singapore | 2023

Senior Data Analyst, BitMEX

Vancouver, BC | 2022

Municipal Derivatives Trading Analyst, RBC Capital Markets

New York, NY | 2020 - 2021

Projects

Select UCL Projects

BASED Legacy

🏆 Encode London 2024 Hackathon Winner

A dApp for automated, rule-based legacy planning to distribute assets and bypass probate court

Flash Loan based Liquidation

Implemented a smart contract to perform flash loan based liquidations on the Aave protocol

Pokémon NFT Trading dApp

Developed a decentralized application for trading Pokémon card NFTs with a focus on security

Privacy Enchancing Technologies labs

Mixnets & Traffic Analysis, Additive Homomorphic Encryption, Zero-Knowledge Proofs, Anonymous Credentials, Private Set Intersection

Select CMU Projects

Artificial Intelligence labs

Multi-Agent Search, Reinforcement Learning, fine-tuning Convolutional Neural Networks, Naieve Bayes classifiers

Color Vision Deficiency Aid (15-112 Term Project)

Created an application to aid people with color vision deficiency through diagnostic tests and image analysis tools

Publications

Papers currently in preparation. This section will be updated upon submission.

Talks

  • Technical Approach for Tracing Approval Phishing

    Trace DC, Washington DC | 2024

Interests

Beyond my work in crypto, I enjoy challenges that engage both my mind and body. I have a mild obsession with board and card games and am always down to learn new ones. On the physical side, I've been a competitive swimmer my entire life, never pass up a good hike, and recently added rock climbing to the mix.

Me climbing
Hang tight 🤙
Preston
Preston-ception