What is your dream job?
My career dream is to conceptualize, design, and develop impactful AI-related solutions, be it within the Energy sector or beyond. The EME department offers a wide array of research avenues, and I've been fortunate to gravitate towards my area of passion: applying machine learning to subsurface challenges. My research, along with academic coursework and extracurricular competitions within EME, has enhanced my understanding of statistical methods and petroleum engineering domain knowledge. These enriching experiences help me obtain internships that are helpful for my general career, such as data science roles and machine learning development positions at energy companies like TGS and Chevron.
What student organizations and activities are you involved in?
I was involved in EME graduate student council, and I was responsible for designing the structure of the organization, officers’ recruitment, and events planning.
What is the best class you’ve taken at Penn State and why?
PNG 497 Geostatistics—that’s the class I met my advisor and started learning in-depth subsurface Geostatistical modeling and statistics in general.
Relative permeability is a crucial physical parameter for understanding the behavior of multiphase fluid systems in subsurface environments. In order to upscale relative permeability effectively, it’s often difficult to integrate rock properties variations across different scales into the modeling workflow. The developed workflow has the potential to bridge the gap between pore-scale simulation and reservoir modeling.
To address this challenge, we have developed a workflow that interpolates relative permeability conditioning to rock properties variations using physics informed generative deep learning approach.
What is one piece of advice you would give to prospective students?
Be sincere and transparent with your advisor and yourself.
What’s the number one reason to choose EME to pursue research?
The Department of EME offers a broad array of research choices for students who just start their Ph.D. journey. Regardless of your specific passion in the field of energy, you're sure to find relevant research opportunities within this department. Moreover, you will have the privilege of collaborating with our exceptional faculty in the energy domain.