At Slalom, a global technology and management consulting firm, I design and build machine learning systems from prototype to production. The work spans NLP pipelines, Databricks workflows, and generative AI applications across multiple client engagements.
Earlier, my doctoral and postdoctoral work at Virginia Tech with Prof. Stephen Eubank used statistical physics and graph theory to study dynamics on complex networks: epidemic spread through populations, vulnerabilities in global food trade, and phase behaviour in magnetic systems.
What connects these is a curiosity about how local interactions shape global behaviour — whether the system is a contact network, a food supply chain, or a dataset. Probabilistic modelling and computational approximation from physics carry over into how I approach machine learning.
🌲 Connecting with Nature
I am an avid hiker and outdoor enthusiast with deep passion for environmental conservation. To date, my travels include more than 25 U.S. National Parks, alongside New York state park system. In addition, voluntering at my local nature centre and serving as a certified NYC Parks Super Steward keep me connected to community education and environmental efforts. Continuous learning through climate courses and environmental projects helps tie these field experiences together.
Contact