Miao Jin

Advisor: Hamid Emami-Meybodi
Expected Graduation: 2026
LinkedIn Profile

Originally from Zhejiang Province in southeast China, Miao Jin is from a region renowned for its ham, small commodities, and film studios. He earned his bachelor’s degree in Petroleum Engineering from China University of Petroleum (Beijing) and pursued his master’s degree at King Fahd University of Petroleum and Minerals in Saudi Arabia.

Jin has a wide range of interests. Beyond physical activities, he is passionate about exploring diverse fields of knowledge, drawing inspiration from subjects like history, philosophy, and psychology. He values meaningful conversations with people from different cultural backgrounds, and learning about their customs and traditions.

What is your dream job and how is EME helping you to get closer to it? 
I expected to become a data scientist working in the research & development division in the energy industry. EME provides many great opportunities to cultivate problem-solving capabilities, build connections, and improve my communication skills.

What student organizations and activities are you involved in?
I used to be the graduate student representative at the EME Graduate Student Council.

WHY EME?

What’s the number one reason prospective graduate students should choose EME to pursue their research? 
The EME department has excellent graduate programs. For example, in the Q.S. 2023 subject ranking, Petroleum Engineering ranks 19th worldwide and 5th among the U.S. universities.

Why did you decide to attend Penn State?
The environment is beautiful. The town is quiet, safe, and clean.

MY RESEARCH 

My research focuses on developing physics-based and data-based machine-learning models to predict the flowing bottomhole pressure of unconventional oil wells under dynamic gas lift operations. The research can be applied to gas lift optimization under different fluid and well conditions, further influencing unconventional oil production.

Methods

We use the selected fluid properties, well parameters, and production data combined with a representative pipe flow model to develop physics-based machine learning models. Meanwhile, the limited well parameters and production data are used to develop data-based models.

ADVICE

What is the one Penn State activity that everyone should participate in, and why?
THON, the biggest student charity organization in North America.