Welcome to my little corner of the universe! I am Henry, a curious explorer in the intersections of science, technology, and creativity. My journey has taken me from studying gravitational waves in the cosmos to optimizing real-world systems here on Earth. Along the way, I’ve worn many hats: researcher, data scientist, developer, speaker, and lifelong learner. Each role has brought me new challenges and opportunities to grow, making the journey incredibly rewarding.

What do I do?

• Astrophysics
  • I study gravitational wave signals emitted during events involving extreme gravity, such as the mergers of compact binaries. These compact objects, such as neutron stars and black holes, are the remnants of massive stars that have exhausted their nuclear fuel and ended their lives in spectacular supernova explosions. My current research explores the origins of hierarchical black hole formation within the pair-instability supernova mass gap.
• Data Science
  • Data science has been my mainstay for the past few years. I’ve worked on diverse projects, from optimizing energy consumption in HVAC systems to predicting bunker fuel prices. Leveraging machine learning and statistical techniques, I develop models to predict, classify, and optimize processes, solving real-world problems through the power of data.
• Software Development
  • Software development is another area where I have spent a significant amount of time. It is where we bring ideas to life and build scalable solutions to deliver in production. I love the process of designing, developing, and deploying software that can make a difference. Refactoring code, optimizing performance, and debugging are all part of the fun.
• MLOps
  • MLOps is the art of managing machine learning models in production environments. It involves the entire lifecycle of a machine learning model, from data collection and model training to deployment and monitoring. It is always satisfying to see a model go from a Jupyter Notebook to a production-ready API.