Hanyu (Mason) Liu - Applied Scientist and Research Engineer

Hanyu (Mason) Liu

Applied Scientist & Research Engineer

Building production-ready ML systems for climate science. Quantifying Arctic methane emissions using physics-based inverse modeling, Bayesian inference, and scalable computational pipelines that translate research into real-world impact.

Baltimore, MD
hliu154@jh.edu
Open to: Applied Scientist, Research Engineer, Data Scientist
PhD Candidate, Johns Hopkins
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Key Highlights

Quantifiable achievements demonstrating production-ready capabilities

4.0/4.0 GPA
PhD & Master's
Johns Hopkins University
#23
National Ranking
NCAA Singles (Tennis), Academic All-American
ATP
Tour Coach
Shanghai Masters Quarterfinals (2025)
First Author
Publications
Greenhouse gas flux modeling
6×
ITA Scholar-Athlete
3× GW + 3× JHU, sustained excellence
100+
NCAA Match Wins
Undefeated at #1 and #2 singles
Johns Hopkins University

Technical Skills

Production-ready skills for Big Tech roles

Languages

Python R MATLAB SQL Swift

ML & AI

Machine Learning Deep Learning Neural Networks AI

Data & Engineering

SQL HPC Data Pipelines

Mobile

Swift iOS Xcode
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Explore My Work

Deep dive into research, experience, and achievements

Research

First-author publications on Arctic methane modeling, geostatistical inverse methods, and multi-model intercomparison. 6 conference presentations at AGU, AMS, and NASA ABoVE.

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Experience

PhD research at Johns Hopkins, industry experience at FI Consulting (ML risk assessment), and coaching ATP professionals. Building systems that scale from research to production.

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Tennis & Leadership

NCAA Top-25 athlete, ATP 1000 tour coach, and assistant coach at Johns Hopkins. Evidence of discipline, high-pressure performance, and mentorship capabilities.

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